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At least 829 records · Page 46

New Whole-House Case Study: Transformations, Inc. Net Zero Energy Communities, Devens, Easthampton, Townsend, Massachusetts

In 2009, Transformations, Inc. partnered with Building America team Building Science Corporation (BSC) to build new net zero energy houses in three developments in Massachusetts. The company has been developing strategies for cost-effective super-insulated homes in the New England market since 2006. After years of using various construction techniques, it has developed a specific set of assemblies and specifications that achieve a 44.9% reduction in energy use compared with a home built to the 2009 International Residential Code, qualifying the houses for the DOE’s Challenge Home. The super-insulated houses provide data for several research topics in a cold climate. BSC studied the moisture risks in double stud walls insulated with open cell spray foam and cellulose. The mini-split air source heat pump (ASHP) research focused on the range of temperatures experienced in bedrooms as well as the homeowners’ perceptions of equipment performance. BSC also examined the developer’s financing options for the photovoltaic (PV) systems, which take advantage of Solar Renewable Energy Certificates, local incentives, and state and federal tax credits.

air source heat pump↗

Machine Learning Toolkit for Extreme Scale

Support Vector Machines (SVM) is a popular machine learning technique, which has been applied to a wide range of domains such as science, finance, and social networks for supervised learning. MaTEx undertakes the challenge of designing a scalable parallel SVM training algorithm for large scale systems, which includes commodity multi-core machines, tightly connected supercomputers and cloud computing systems. Several techniques are proposed for improved speed and memory space usage including adaptive and aggressive elimination of samples for faster convergence , and sparse format representation of data samples. Several heuristics for earliest possible to lazy elimination of non-contributing samples are considered in MaTEx. In many cases, where an early sample elimination might result in a false positive, low overhead mechanisms for reconstruction of key data structures are proposed. The proposed algorithm and heuristics are implemented and evaluated on various publicly available datasets

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Building America Case Study: Rehabilitation of USDA Multifamily Homes, Georgia (Climate Zones 2-4)

Rea Ventures Group, LLC, (Rea Ventures) partnered with Southface Energy Institute (Southface) on the rehabilitation of 418 low-income rental multifamily apartments located at 14 different properties in Georgia (Climate Zones 2-4). These 22-year old, individually-metered units were arranged in rowhouse or townhouse style units. Rehabilitation plans were developed using a process prescribed by the US Department of Agriculture (USDA) Rural Development program, who partially funded the building upgrades. The USDA is responsible for building, upgrading, and subsidizing housing in rural areas nationwide. In 2012, over $100 million was allocated in grants and loans. Due to the unique financing mechanism as well as long-term ownership requirements, property owners are especially motivated to invest in upgrades that will increase durability and tenant retention. These buildings represent a large stock of rural affordable housing that have the potential for significant energy and cost savings for property owners and tenants. Southface analyzed the energy upgrade potential of one stereotypical property in the Rea Ventures portfolio. This study will provide insight into the most cost-effective, implementable energy efficiency and durability upgrades for this age multifamily housing, having an enormous impact not only on the portfolio of Rea Ventures but on the vast USDA and larger Federal portfolio. Additionally, Southface will identify gaps in the current capital needs assessment process, examine available audit and simulation tools and protocols, and evaluate additional auditor training or certification needs.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Innovative Commercialization Efforts Underway at the National Renewable Energy Laboratory

New clean energy and energy efficiency technology solutions hold the promise of significant reductions in energy consumption. However, proven barriers for these technologies, including the technological and commercialization valleys of death, result in promising technologies falling to the wayside. To address these gaps, NREL's Innovation & Entrepreneurship Center designs and manages advanced programs aimed at supporting the development and commercialization of early stage clean energy technologies with the goal of accelerating new technologies to market. These include: Innovation Incubator (IN2) in partnership with Wells Fargo: this technology incubator supports energy efficiency building-related startups to overcome market gaps by providing access to technical support at NREL; Small Business Voucher Pilot: this program offers paid vouchers for applicants to access a unique skill, capability, or facility at any of the 17 DOE National Laboratories to bring next-generation clean energy technologies to market; Energy Innovation Portal: NREL designed and developed the Energy Innovation Portal, providing access to EERE focused intellectual property available for licensing from all of the DOE National Laboratories; Lab-Corps: Lab-Corps aims to better train and empower national lab researchers to understand market drivers and successfully transition their discoveries into high-impact, real world technologies in the private sector; Incubatenergy Network: the Network provides nationwide coordination of clean energy business incubators, share best practices, support clean energy entrepreneurs, and help facilitate a smoother transition to a more sustainable clean energy economy; Industry Growth Forum: the Forum is the perfect venue for clean energy innovators to maximize their exposure to receptive capital and strategic partners. Since 2003, presenting companies have collectively raised more than $5 billion in growth financing.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Solar Training Network Requirements & Benefits

The white house recently announced the launch of the Solar Training Network, a new U.S. Department of Energy Sunshot initiative funded program. This $2.1 Million program will run two years and is designed to connect solar trainers, solar employers, and solar job seekers in order to help meet the labor needs of the booming solar industry. The program aims to create a dedicated employment pipeline of skilled solar workers to help employers find skilled solar employees when and where they need them. We are actively recruiting employer partners, including solar installation companies, financing firms, manufacturers, and more. This presentation will cover all of the requirements and benefits of employer partnership as well as the positive impact the program is expected to have on our partners' talent acquisition efforts.

14 SOLAR ENERGY↗

Advanced Commercial Buildings Initiative Final Report

The Southface Advanced Commercial Buildings Initiative has developed solutions to overcome market barriers to energy reductions in small commercial buildings by building on the success of four local and Southeast regional energy efficiency deployment programs. These programs address a variety of small commercial building types, efficiency levels, owners, facility manager skills and needs for financing. The deployment programs also reach critical private sector, utility, nonprofit and government submarkets, and have strong potential to be replicated at scale. During the grant period, 200 small commercial buildings participated in Southface-sponsored energy upgrade programs, saving 166,736,703 kBtu of source energy.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Lawrence Berkeley National Laboratory 2016 Annual Financial Report

FY2016 was a year of significant change and progress at Berkeley Lab. In March, Laboratory Director Michael Witherell assumed his new role when former Lab Director Paul Alivisatos became Vice Chancellor for Research at UC Berkeley. Dr. Witherell has solidified the Lab’s strategy, with a focus on long term science and technology priorities. Large-scale science efforts continued to expand at the Lab, including the Dark Energy Spectroscopic Instrument now heading towards construction, and the LUX-ZEPLIN dark matter detector to be built underground in South Dakota. Another proposed project, the Advanced Light Source-Upgrade, was given preliminary approval and will be the Lab’s largest scientific investment in years. Construction of the Integrative Genomics Building began, and will bring together researchers from the Lab’s Joint Genome Institute, now based in Walnut Creek, and the Systems Biology Knowledgebase (K-Base) under one roof. Investment in the Lab’s infrastructure also continues, informed by the Lab’s Infrastructure Strategic Plan. Another important focus is on developing the next generation of scientists with the talent and diversity needed to sustain Berkeley Lab’s scientific leadership and mission contributions to DOE and the Nation. Berkeley Lab received $897.5M in new FY2016 funding, a 12.5% increase over FY2015, for both programmatic and infrastructure activities. While the Laboratory experienced a substantial increase in funding, it was accompanied by only a modest increase in spending, as areas of growth were partially offset by the completion of several major efforts in FY2015. FY2016 costs were $826.9M, an increase of 1.9% over FY2015. Similar to the prior year, the indirect-funded Operations units worked with generally flat budgets to yield more funding for strategic needs. A key challenge for Berkeley Lab continues to be achieving the best balance to fund essential investments, deliver highly effective operational mission support and remain cost-competitive. Through a comprehensive approach to prioritize competing needs, the Lab ended the year in a favorable financial position. The Office of the Chief Financial Officer (OCFO) played a key role in providing analysis and decision support to Executive Leadership, enabling the Lab to enhance its financial management strategies. In FY2016, the OCFO updated its analytic approaches and models to enhance long term financial projections under various funding and investment scenarios, and to assess total cost of ownership for major proposed investments. These improvements provided the new Lab Director and Senior Leadership with more comprehensive information and analytic support for planning and prioritization efforts. Within the OCFO, we focused on core operations and key initiatives defined in our OCFO Strategic Roadmap. The Lab’s Financial System transitioned from stabilization to optimization, with a focus on expanding the financial reporting capabilities considerably. We completed implementation of the eCommerce platform, achieving a notable outcome for the Lab in close partnership with DOE’s Office of Science. In other accomplishments, we launched a financial literacy program to enable Lab managers and staff to understand and execute their financial management and stewardship responsibilities more effectively; made substantial progress in enhancing our Field Finance model that provides financial support to client divisions and areas; developed a business process governance model to define OCFO business processes, clarify roles, and strengthen service delivery; and implemented a Partners in Leadership training program to build leadership capacity among our staff. We completed a ‘refresh’ of our Strategic Roadmap, which now defines our priorities for FY2017-FY2019. As a part of this effort, we made a subtle but important change to the OCFO mission statement to call out the Lab’s research and stewardship mission to sustain the Lab’s science and technology capabilities now and into the future. Berkeley Lab’s FY2016 progress on all fronts - scientific, operations, and financial management – position the Lab to continue bringing science solutions to the world as we charge into the 21st Century.

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Zero Energy With an Affordable Price Tag: Friends School of Portland

More than half of all operating school districts in the U.S. are in rural areas. These small schools operate at a different scale and have different needs than their city counterparts. In 2003-2004, 20% of public schools in the U.S. served fewer than 200 students(1). Although the Friends School of Portland - which was designed to achieve both zero energy performance and Passivhaus certification - is an independent school, it faced financial constraints similar to those faced by many other small schools throughout the country. The project was financed through a capital campaign and a mortgage that forced a hard cost cap on the project, so the project team had to be diligent about every dollar that was spent. In its first year of operation, the school site energy use intensity was just 12 kbtu/ft2, a bit more than the 9 kbtu/ft2 predicted.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Wind Plant Performance Prediction (WP3) Project

The methods for analysis of operational wind plant data are highly variable across the wind industry, leading to high uncertainties in the validation and bias-correction of preconstruction energy estimation methods. Lack of credibility in the preconstruction energy estimates leads to significant impacts on project financing and therefore the final levelized cost of energy for the plant. In this work, the variation in the evaluation of a wind plant's operational energy production as a result of variations in the processing methods applied to the operational data is examined. Preliminary results indicate that selection of the filters applied to the data and the filter parameters can have significant impacts in the final computed assessment metrics.

17 WIND ENERGY↗

Projects without a purpose: Why a top down strategy to resilience matters

Energy resilience is a key focus of the current administration and Department of Defense (DoD) leaders, and is in the title of every energy conference session. Most case studies and success stories focus on resilience projects hardening systems or microgriding critical infrastructure. Some case studies focus on unique financing approaches to bring private sector innovation and increased investment to military installations. Many times, what initially look like innovative resilience projects, end as isolated systems or stranded infrastructure. This article will explore how the DoD can make greater strides advancing resilience objectives and ultimately developing projects that support installation mission readiness by first focusing on top down strategies. The Army established energy and water security/resilience requirements, developed a comprehensive measurement framework, is evolving integrated planning approaches in collaboration with local communities, and is supporting project development activities across third-party and appropriated programs. The Army’s multi-year strategic energy and water security planning activities can provide helpful guidance to both the lifecycle of programs or individual projects, and ensure resilience projects both have and achieve a purpose.

Army↗

Framework and methodology for supply chain lifecycle analytics

The various technologies presented herein relate to pertaining to identifying and mitigating risks and attacks on a supply chain. A computer-implemented representation of a supply chain is generated comprising nodes (locations) and edges (objects, information). Risk to attack and different attack vectors can be defined for the various nodes and edges, and further, based upon the risks and attacks, (difficulty, consequence) pairs can be determined. One or more mitigations can be generated to increase a difficulty of attack and/or reduce consequence of an attack. The one or more mitigations can be constrained, e.g., by cost, time, etc., to facilitate determination of how feasible a respective mitigation is to implement with regard to finances available, duration to implement, etc. A context-free grammar can be utilized to identify one or more attacks in the supply chain. Further, the risks can undergo a ranking to enable mitigation priority to be determined.

97 MATHEMATICS AND COMPUTING↗

Refining the Definition of a Geothermal Exploration Success Rate

The geothermal exploration process impacts project development timelines, costs, and overall perceived risk. However, the success in the exploration phase of a geothermal project - and the calculation of a success rate - is universally ill-defined. In previous studies, the success of a geothermal process is loosely defined as the number of wells that result in commercially-viable production. This work focuses on refining the definition of success for the exploration process to represent an upper bound to the likelihood a project will proceed into commercial production. This research examines the topic of success from both a top-down and bottom-up approach: a review of previous assessments of success rate that identifies common conditions leading to successful exploration, and a project-level review of geothermal sites in the western United States focused on decision points in the geothermal exploration process. The analysis not only considers the impact of factors outside of the geothermal reservoir (i.e. delays due to financing or permitting), but also touches on the length of the exploration process and the symbiosis between exploration methods. Using a combination of these analyses, future work will investigate which levers within the geothermal exploration process have the strongest influence on overall project success.

15 GEOTHERMAL ENERGY↗

The Joint Institute for Strategic Energy Analysis

The Joint Institute for Strategic Energy Analysis (JISEA) provides leading-edge, objective, high-impact research and analysis to inform global energy investment and policy decisions. JISEA explores the intersections of the environmental, social, financial, technological, and political elements of energy systems. Focused on the nexus of energy, finance, and society, JISEA envisions a clean energy economy.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

Clean Energy Innovation Ecosystems Discovery - Measuring Innovation Through Data Analytics (MIDAS)

As part of the Mission Innovation rollout at the Paris COP 21, 20 countries announced to double their R&D budgets over 5 years to accelerate lab-to-market clean energy innovations. These innovations must address technical urgency and navigate complex institutional, social and financial environments. To inform budget and program development, policymakers need to understand existing clean energy innovation ecosystems (IE) and their characteristics at the local, state, and regional levels within the US. Researchers at ORNL have implemented a ground-breaking application of natural language processing, link analysis, and other computational techniques to transform text and numerical data into metrics on clean energy innovation activity and geography. The 'Measuring Innovation through Data Analytics' (MIDAS) application uses data to determine where clean energy innovation ecosystems exist and the underlying scoring algorithm "ranks" the strength of the ecosystem for several clean energy technologies. The selection of the data sources is driven by the fact that a clean energy IE can be identified as an intersection of nascent clean technology efforts and financing mechanisms and related large companies located in a geographically concentrated area with an enabling environment to encourage commercialization and networking assets to facilitate communication. MIDAS is a machine-assisted methodology that provides the user with a replicable method to rapidly identify, quantify and characterize clean energy innovation ecosystems. This software application and the underlying datasets have the potential to address many important policy questions. The initial broad list of U.S. clean energy ecosystems, with geographic area, technology focus, and list and types of involved organizations can help describe regional tech activities and capabilities. Other potential applications include understanding the effect of private sector investments on ecosystem activity, and trends analysis.

Chinthavali, Supriya↗

Raising the Rent Premium: Moving Green Building Research Beyond Certifications and Rent

Advocates for high-performing, energy efficient buildings understand the hurdles to proving the business case to spur development and investment decisions among commercial real estate owners and investors. Although there is significant evidence that green buildings exhibit increased financial performance via decreased operating expenses and non-energy benefits such as workplace comfort and employee productivity, green building practitioners still face an uphill battle when asked to prove the profits, most frequently pointing to rent premium as an indicator to attract investment. This paper documents a recently conducted literature review commissioned by the US Department of Energy (DOE) of 39 peer-reviewed and published academic papers pertaining to green or energy-related building attributes and financial performance. The review (first published here) indicated that 27 papers found a positive correlation between green building certifications and rents. If this is the case, then why are green building development and energy efficiency retrofits not the norm for the industry? This paper first synthesizes the recent literature review to illustrate that the existing body of empirical evidence supports green building investment. Next, it describes a workshop of leading academics in real estate sustainability and finance who met in late 2017 to discuss gaps in green building research and assess data challenges in their fields. Insights synthesized the workshop were used to drive new DOE led research that can provide value and understanding to investors and builders of high performing buildings. Finally, the paper offers insights into why the market is not properly pricing building efficiency, with factors ranging from improper mitigation of risks associated with energy and lack of transparency and responsibility felt by building end users, and what further steps are needed to transform green building investment practices in the commercial real estate industry.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Predicting Future Soiling Losses Using Environmental Data: Preprint

Soiling consists of the accumulation of dust and dirt on the surfaces of photovoltaic (PV) modules and causes a reduction in the energy conversion. Investors generally consider an average yearly soiling loss to estimate the energy yield and the economic revenue of a site for a new PV installation. If soiling could be estimated from wide available parameters, describing the pollution and the rainfall pattern at a site, more accurate losses could be predicted, reducing the uncertainty in the estimation of the energy yield and therefore the finance rates offered for new PV systems. The present work investigates the correlations between present environmental parameters and future soiling losses.

14 SOLAR ENERGY↗

High Temperature Reactor Research and Development Roadmap, Draft for Public Comment

Nuclear power provides clean, reliable energy, contributing about 20 percent of the electricity generated in the United States. It supplies approximately 60 percent of our non-greenhouse-gas emitting power, making it our nation’s single largest contributor of carbon-free electricity. This vital component of the U.S. energy portfolio avoids hundreds of millions of tons of carbon dioxide emissions each year and supports hundreds of thousands of U.S. jobs, and yet is facing unprecedented challenges. Complex market factors, falling alternative generation costs and lower electricity demand forecasts have made operating nuclear power plants uneconomical in some parts of the country. The industry is confronting premature shut downs, a lack of new plants in the pipeline, profound market challenges and intense financing requirements. However, none of these challenges reflect a reduced need for this reliable and clean source of baseload power. Our nation’s nuclear sector urgently needs to adjust to these challenges to ensure continued availability of this vital national energy resource. The Department of Energy and its national laboratories are aggressively working to revive, revitalize, and expand U.S. nuclear energy capacity. We are advancing nuclear energy technologies through targeted early-stage investments to ensure a strong domestic industry now and into the future. By leveraging public-private partnerships and the national laboratory system, we are developing an advanced nuclear infrastructure, encouraging a resilient supply chain, and promoting a strong nuclear pipeline. A key element of this effort is to support the recent and rapid expansion in innovative advanced reactor development already being led by the U.S. nuclear industry. Advanced reactors, particularly non-light water reactor concepts, offer the potential for significant improvements to safety, economics and environmental performance, to help sustain and expand the availability of nuclear power as a clean, reliable and secure power source for our nation. As part of this strategy, the Department of Energy commissioned the development of technology roadmaps for advanced non-light-water reactor concepts. The starting point for the roadmaps is the technical readiness assessment performed as part of an advanced test and demonstration reactor study released in 2016 [ ]. The roadmaps show the Research and Development (R&D) needed to support demonstration of advanced reactor concepts, for either engineering demonstration or commercial demonstration depending on concept maturity, by 2035. The starting point for the roadmaps is the technical readiness assessment performed as part of an advanced test and demonstration reactor study released in 2016. The roadmaps were developed based on a review of technical reports and vendor literature summarizing the technical maturity of each concept and the outstanding R&D needs. Tasks for specific systems were highlighted on the basis of time and resources needed to complete the tasks and the importance of the system to the performance of the reactor concept. The roadmaps are intended to be generic (i.e., not specific to a particular vendor’s design); however, features of the General Atomics Energy Multiplier Module were included to provide specific examples for illuminating needed R&D tasks to be conducted in support of demonstration in the near future.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

CSP-Plant Modeling Guidelines and Compliance of the System Advisor Model (SAM): Preprint

Accurately modeling risks, costs, and electricity output is essential to the financing and advancement of concentrating solar power projects. To address this need, a group of CSP experts created a guideline document, titled SolarPACES Guideline for Bankable STE Yield Assessment (1). To make this information more accessible and allow stakeholders to test specific models against the recommendations, the guidelines have been condensed into a spreadsheet-based checklist. The checklist was applied to NREL's System Advisory Model (SAM) CSP modeling software, providing useful feedback to both the checklist group and the SAM development team. This study showed a strong agreement between SAM and the guidelines, demonstrated the use of the guidelines in model validation, and resulted in several recommended improvements to SAM.

14 SOLAR ENERGY↗