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DOE OSTI2016

SUPERVISORY CONTROL FOR PEAK REDUCTION IN COMMERCIAL BUILDINGS WHILE MAINTAINING COMFORT

This paper describes a supervisory control strategy for limiting peak power demand by small and medium commercial buildings while still meeting the business needs of the occupants. This control strategy has two features that make it relevant to new and existing buildings. First, it is designed to operate with building equipment, such as air conditioning and refrigeration systems, as they are presently installed in most small and medium commercial buildings. Because of this, the supervisory control could be realized as a software-only retrofit to existing building management systems. Second, the proposed control acts as a supervisory management layer over existing control systems, rather than replacing them outright. The primary idea of this approach is that the controls for individual building equipment request energy resources for a control action and the supervisory control examines the requests and decides which control actions to allow while satisfying a limit on peak power demand.

Nutaro, James J↗

DOE OSTI2015

Automatic building information model query generation

Energy efficient building design and construction calls for extensive collaboration between different subfields of the Architecture, Engineering and Construction (AEC) community. Performing building design and construction engineering raises challenges on data integration and software interoperability. Using Building Information Modeling (BIM) data hub to host and integrate building models is a promising solution to address those challenges, which can ease building design information management. However, the partial model query mechanism of current BIM data hub collaboration model has several limitations, which prevents designers and engineers to take advantage of BIM. To address this problem, we propose a general and effective approach to generate query code based on a Model View Definition (MVD). This approach is demonstrated through a software prototype called QueryGenerator. In conclusion, by demonstrating a case study using multi-zone air flow analysis, we show how our approach and tool can help domain experts to use BIM to drive building design with less labour and lower overhead cost.

97 MATHEMATICS AND COMPUTING↗

DOE OSTI2016

Codes Don't Always Get Enforced, But Contracts Do: Changing the Procurement Paradigm to Drive Building Energy Performance

New construction could account for more than 25% of the U.S. energy consumption by 2030. Millions of square feet are built every year that will not perform as expected - despite advancing codes, rating systems, super-efficient technologies, and advanced utility programs. With retrofits of these under-performers decades away, savings potential will be lost for years to come. Only the building owner is in the driver's seat to demand - and verify - higher-performing buildings. Yet our current policy and market interventions really target the design team, not the owner. Accelerate Performance, a U.S. Department of Energy funded initiative, is changing the building procurement approach to drive deeper, verified savings in three pilot states: Illinois, Minnesota, and Connecticut. Performance-based procurement ties energy performance to design and contractor team compensation while freeing them to meet energy targets with strategies most familiar to them. The process teases out the creativity of the design and contracting teams to deliver energy performance - without driving up the construction cost. The paper will share early results and lessons learned from new procurement and contract approaches in government, public, and private sector building projects. The paper provides practical guidance for building owners, facilities managers, design, and contractor teams who wish to incorporate effective performance-based procurement for deeper energy savings in their buildings.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2015

Commercial Building Energy Saver, Web App

The CBES App is a web-based toolkit for use by small businesses and building owners and operators of small and medium size commercial buildings to perform energy benchmarking and retrofit analysis for buildings. The CBES App analyzes the energy performance of user's building for pre-and posto-retrofit, in conjunction with user's input data, to identify recommended retrofit measures, energy savings and economic analysis for the selected measures. The CBES App provides energy benchmarking, including getting an EnergyStar score using EnergyStar API and benchmarking against California peer buildings using the EnergyIQ API. The retrofit analysis includes a preliminary analysis by looking up retrofit measures from a pre-simulated database DEEP, and a detailed analysis creating and running EnergyPlus models to calculate energy savings of retrofit measures. The CBES App builds upon the LBNL CBES API.

Hong, Tianzhen↗

DOE OSTI2017

Potential impacts of climate change on the built environment: ASHRAE climate zones, building codes and national energy efficiency

Statement of the Problem: ASHRAE releases updates to 90.1 “Energy Standard for Buildings except Low-Rise Residential Buildings” every three years resulting in a 3.7%-17.3% increase in energy efficiency for buildings with each release. This is adopted by or informs building codes in nations across the globe, is the National Standard for the US, and individual states elect which release year of the standard they will enforce. These codes are built upon Standard 169 “Climatic Data for Building Design Standards,” the latest 2017 release of which defines climate zones based on 8, 118 weather stations throughout the world and data from the past 8-25 years. This data may not be indicative of the weather that new buildings built today, will see during their upcoming 30-120 year lifespan. Methodology & Theoretical Orientation: Using more modern, high-resolution datasets from climate satellites, IPCC climate models (PCM and HadGCM), high performance computing resources (Titan) and new capabilities for clustering and optimization the authors briefly analyzed different methods for redefining climate zones. Using bottom-up analysis of multiple meteorological variables which were the subject matter, experts selected as being important to energy consumption, rather than the heating/cooling degree days currently used. Findings: We analyzed the accuracy of redefined climate zones, compared to current climate zones and how the climate zones moved under different climate change scenarios, and quantified the accuracy of these methods on a local level, at a national scale for the US. Conclusion & Significance: There is likely to be a significant annual, national energy and cost (billions USD) savings that could be realized by adjusting climate zones to take into account anticipated trends or scenarios in regional weather patterns.

New, Joshua Ryan↗

DOE OSTI2018

Food Service Building Asset Rating Methodology and Analysis

Food Service buildings are extremely energy intensive, using about 5 to 7 times more energy per square foot than conventional commercial buildings. Energy intensive commercial kitchen appliances are the primary drivers, often necessitating high exhaust air requirements. Currently, no standardized method exists to directly compare energy efficiency between different Food Service buildings. Different restaurant types have various types of appliances and cooked food throughput requirements and thus it is challenging to make direct comparisons. Past attempts to categorize Food Service use types into “Quick-Service” and “Full-Service” led to the development of the Standard 90.1 prototype building models. However, these models do not address the highly diverse Food Service use types. This paper proposes a methodology to compare Food Service buildings through an asset rating system. By identifying all unique systems in a kitchen and creating a common baseline, this methodology identifies approaches for normalizing variations in kitchen requirements and to compare all Food Service buildings against one another.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

DOE OSTI2019

Accuracy of a Crude Approach to Urban Multi-Scale Building Energy Models Compared to 15-min Electricity Use

ASHRAE has recently named a TC4.7 subcommittee on Multi-Scale Energy Modeling and there have been many technical developments focused on urban-scale energy modeling with the goal of creating building energy models for all buildings in a city to facilitate simulation-informed energy optimization for the built environment. These efforts often rely on non-scalable, local sources of information (e.g. county’s tax assessor’s database) to create more accurate models of those buildings. In partnership with the local utility, a year’s worth of real-world 15-minute electrical use data from 178,377 premise buildings has been assessed. This smart meter data is statistically analyzed and compared to corresponding simulation data for 97 different building prototypes in order to better assess simulation accuracy for various utility-defined use cases. To our knowledge, this is the first time real world and simulated building energy use data have been compared at this scale.

Garrison, Eric↗

DOE OSTI2019

BUILDING 9201-5

Building 9201-5 (Alpha-5) functioned as a uranium enrichment facility during World War II and furthered the plant's mission of producing enriched uranium for the atomic bomb. As an Alpha processing facility associated with the Manhattan Project, Building 9201-5 aided in the development of wholly new technology and substantially advanced the field of nuclear science. In terms of facility planning, project engineers originally designed all Alpha and Beta buildings with "zero tolerance" for building movement or settling as the successful operation of the Y-12 Plant's calutrons depended on absolute structural stability. After World War II, the building was used in the plant’s COLEX process of the 1950s which separated the element Lithium-6 (Li-6). This was an important component in the manufacture of hydrogen bombs and the COLEX process is of notable significance in Cold War history. Building 9201-5 is eligible for inclusion in the National Register.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2019

BUILDING 9204-4

Building 9204-4 is associated with the Y-12 Plant located on the Oak Ridge Reservation, which was originally developed during World War II. Building 9204-2 (Beta-4) functioned as a uranium enrichment facility during World War II and furthered the plant’s mission of producing enriched uranium for the atomic bomb. Following the Manhattan era, Building 9204-4 functioned as a nuclear weapons production facility. As a Beta processing facility associated with the Manhattan Project, and later serving as the site for the production of nuclear weapon components during the Cold War years. Building 9204-4 aided in the development of wholly new technology and substantially advanced the field of nuclear science. In terms of facility planning, project engineers originally designed all Alpha and Beta buildings with “zero tolerance” for building for movement or settling as the successful operation of the Y-12 Plant’s calutrons depended on absolute structural stability.

96 KNOWLEDGE MANAGEMENT AND PRESERVATION↗

DOE OSTI2019

Accelerating the Uptake of ISO 50001 in Commercial Buildings: Two Early Adopters Utilizing an “Enterprise-wide” Approach to Save Energy and Beyond

ISO 50001:2011 is a voluntary international standard that provides a flexible framework for implementing a continual improvement-based system to manage energy. Experience shows that institutionalizing ISO 50001’s proven best practices can lead to deep total energy savings of 5–20 percent annually. Based on an internationally developed methodology for predicting future impacts of ISO 50001 uptake within a region from McKane et al. (2017), we estimate that adopting ISO 50001 within the U.S. commercial buildings sector can generate annual energy savings of approximately 65 billion Btu in 2030. Commercial properties also could leverage ISO 50001 to unlock benefits through increased property values, rental premiums, company valuations, and access to new capital markets. Currently, within the United States, ISO 50001 has been primarily adopted in the industrial sector, with limited uptake in the commercial sector. This paper discusses the motivation, implementation approach, and achieved benefits of two ISO 50001-certified companies with commercial building portfolios in the United States. Anecdotal results from these companies show that the commercial buildings sector has an opportunity to implement ISO 50001 cost-effectively at the enterprise level and scale energy savings quickly—especially among organizations with campuses and/or chains of geographically scattered buildings with similar building energy systems. These early results, coupled with estimated impacts from ISO 50001 uptake within the U.S. commercial buildings sector, suggest that direct uptake and incorporation of the standard in utility and government programs will generate significant energy and greenhouse gas reductions.

Liu, Jingjing↗

DOE OSTI2019

Empirical Validation of Building Energy Modeling using Flexible Research Platform

Recently, efforts have been made to provide reliable empirical data for ANSI/ASHRAE Standard 140, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs, to enable improved accuracy of building energy model (BEM) engines and improved characterization of their accuracy. The motivation for this effort is that the use of reliable empirical validation data sets in the evaluation of building energy modeling tools will lead to more consistent and validated simulation engines across all software vendors. This would expedite the use of building energy modeling in designing new buildings and retrofitting existing buildings, which delivers more energy efficient buildings.As part of a three-year multi-lab empirical validation project sponsored by U.S. DOE, this research project generated cooling season test plans by reviewing ASHRAE Standard 140, and the tests were performed based on the test plan. Finally, the experimental data sets were compared with the EnergyPlus model to demonstrate the validation procedure.

Im, Piljae↗

DOE OSTI2019

NIST Infiltration Tools for Commercial Buildings

The Department of Energy estimates that infiltration through building envelopes accounted for 6 % of the total energy consumed by commercial buildings and 21 % of the heating and cooling energy. Air barrier requirements are now being included in ASHRAE Standards 90.1 and 189.1 and other construction requirements. The energy impacts of unintended infiltration on building energy use can be significant, but current energy simulation software and design methods are generally not able to accurately account for envelope infiltration and the impacts of improved airtightness. NIST has been developing tools to better account for infiltration in building energy models. The tools that will be discussed in this paper include: CONTAM Results Export Tool; weather-correlated infiltration inputs for prototype commercial buildings and the associated Open Studio Measures; and a web-based tool to evaluate the energy savings of building envelope airtightening, which was developed with the Oak Ridge National Laboratory and the Air Barrier Association of America. This paper briefly describes each tool, their applications, and the benefits of using each. All of the tools are publicly available at no cost.

Ng, Lisa↗

DOE OSTI2019

Energy Savings Impacts of Airtightness in U.S. Commercial Buildings

Air leakage in commercial buildings in the U.S. accounts for about one quad of energy annually. As the thermal resistance of commercial building envelopes continues to improve, the relative contribution of air leakage to heating and cooling loads is increasing. Several manufacturers have developed advance air barrier technologies and construction practices to reduce the air leakage in buildings. To help in the market penetration of these advance technologies, advances in easy to use tools for determining the impact of air leakage are needed. Oak Ridge National Laboratory (ORNL), the Air Barrier Association of America, the National Institute of Standards and Technology, and the US-China Clean Energy Research Center for Building Energy Efficiency partnered to develop an online calculator that estimates the potential energy and cost savings in major US, Canadian, and Chinese cities from improvements in airtightness. The calculator estimates the energy and cost savings potential based on the pre and post retrofit air leakage rates for prototype commercial buildings. This report explores extending these savings to determine the national level energy savings potential based on the weightage of commercial building type in different ASHRAE climate zone locations. The base infiltration rate of 1.07 CFM/ft2 was assumed for these calculations and the savings were calculated for three different air infiltration target rates of 0.4 CFM/ft2, 0.25 CFM/ft2, and 0.06 CFM/ft2. The national source energy savings of 238, 283, and 313 TBtu respectively were estimated for these target air infiltration rates.

Bhandari, Mahabir↗

DOE OSTI2019

Modeling Building Use and Population Distribution Opportunity Using Open Geosocial Data in Urban Areas

Knowing where people are and knowing how the land in urban areas is being used is critical for assessing human mobility patterns, monitoring population health, planning for transportation services, and responding to natural disasters and emergency situations. While geophysical phenomena like land cover are more easily observed through remote sensing, social phenomena like how a city block or building is being used by the population is generally unobservable through standard remote sensing practices. Current methods and land use data by their nature are also difficult to scale to national or global levels. While land use data are often available in large cities, there are abundant data gaps globally. Furthermore, land use data can often appear relatively coarse in its spatial and semantic resolution (i.e. 1km grid cells rather than building level, and "commercial" rather than "coffee shop"). In particular, there is a need to harvest scalable data and develop methods to create global land use maps. To this end, in this work we combine building footprints and Points of Interest (POI) to estimate land use at the building level, including its mixed-use intensity. Next, we propose a method for defining semantic temporal zones referring to Morning, Day, Evening, and Night times unique to a region, based on the cumulative hourly change in the POIs' hours of operation. We then use these POIs' hours of operation to estimate non-residential population distribution opportunity and land use change over a 24-hour period. We validate our results through manual checks of randomly sampled individual buildings using multiple sources. Finally, we discuss the impact of our results on identifying population distribution opportunity and the reliability of estimating building use.

Sparks, Kevin↗

DOE OSTI2021

Making Data-Driven Policy Decisions for the Nation’s First Building Energy Performance Standards

Nearly every major U.S. city has committed itself to ambitious climate action goals – for Washington, DC this means a 50 percent reduction in greenhouse gases by 2032 and carbon neutrality by 2050. In support of these goals, Washington, DC has passed one of the most aggressive and practical climate action bills in the nation—with the Clean Energy DC Omnibus Act, DC became the first city in the U.S. to adopt energy performance standards for existing buildings. DC’s Building Energy Performance Standards (BEPS) require energy efficiency improvements for all commercial and multifamily buildings that do not meet a sector-specific minimum ENERGY STAR score or equivalent metric, with iterative compliance cycles every five years that will accelerate the pace of whole building retrofits. This paper explores this revolutionary policy framework and uses two data analysis projects that DC conducted to evaluate the potential impact of the BEPS and move towards carbon neutrality. First, we analyze the potential energy savings and greenhouse gas reductions, as well as potential cost impacts, from the implementation of a BEPS policy in DC We then examine the role of BEPS in a carbon neutrality strategy, how BEPS savings iterate over time, and what additional existing building improvements will be driven by the gravitational pull of new building codes on median performance. The paper highlights the benefits and limitations of such data-driven approaches to support policy decisions. Finally, we will review ongoing BEPS implementation, including expected policy directions, critical supportive programs, and lessons learned to date.

Bergfeld, Katie↗

DOE OSTI2018

A SIMPLIFIED ENERGY MODELING APPROACH FOR BUILDINGS

This paper introduces simplified energy modeling (SEM) approaches using DOE2 and EnergyPlus and proposes a validation method for simplified energy modeling. Simplified energy modeling can allow more design teams and owners to leverage the power of energy modeling to inform their designs and lead to greater energy savings and a lower first cost because the technologies and design strategies can be thoroughly tested against models before the decisions are made. By starting a discussion on how to develop simplified energy modeling approaches and methods to validate results, we hope to increase innovation in energy modeling software while decreasing variation between modelers. Simplified modeling is not yet widely accepted because it is unclear if the simplifications reduce the accuracy of the results. By starting an industry dialogue on a testing method for these modeling approaches, we hope to aid adoption of more streamlined tools when they can be shown to provide similar accuracy to more detailed tools. This paper proposes a method to test simplified energy modeling programs against the DOE prototype buildings. It builds on the testing procedure established for simulation engines by ASHRAE Standard 140. By comparing whole building and end use results from the accepted prototype buildings to any simplified modeling approach across multiple building types and climate zones we can determine if the simplifications create unwarranted error. We will present the SEM approach and results for a case study validation for a sample building types in 16 US climate zones from two such simplified energy modeling tools.

Energy Modeling, 90.1 Appendix G, Asset Score Tool↗

DOE OSTI2021

Model based co-simulation platform for integrated building system control and design optimization

Both steady-state and dynamic simulations have been widely used by HVAC&R industry to support product/equipment development for decades. Steady-state simulation focuses on the system mass, energy and momentum balance of an equilibrium state. It is based on high-fidelity components models, and thus is suitable for system and component design optimization. Dynamic simulation studies the system transient response and is generally used for controls development and verification. It usually does not require rigorous component models of high accuracy because 1) the commonly used PID control is feedback control whose control performance evaluation doesn’t require high fidelity system/plant model; 2) high-fidelity dynamic model significantly increases the number of equations and variables and creates tremendous challenge for math solver. For supervisory control, transactive control or optimization of an integrated building system, the HVAC&R equipment is often one of the sub-components to be controlled. High-fidelity equipment models are required for accurately evaluating control strategies. In addition, building equipment manufacturers have developed a lot of high-fidelity steady-state equipment/component models per their expertise. Thus, a platform that can integrate OEM high-fidelity steady-state model with dynamic building simulation and/or electric power system & grid simulation to support the development and verification of supervisory control for integrated building systems is necessary. In this study, ORNL’s heat pump design tool (HPDM) is utilized to develop a co-simulation platform for supervisory control and optimization in integrated building systems. It is based on a model that integrates high-fidelity steady-state simulation equipment models with dynamic building simulation. A practical case of using the proposed co-simulation platform to develop and evaluate the supervisory control and optimization is presented and discussed.

Sun, Jian↗

DOE OSTI2021

Heat Based Power Augmentation for Modular Pumped Hydro Storage in Smart Buildings Operation

In the U.S., building sector is responsible for around 40% of total energy consumption and contributes about 40% of carbon emissions since 2012. Within the past several years, various optimization models and control strategies have been studied to improve buildings energy efficiency and reduce operational expenses under the constraints of satisfying occupants’ comfort requirements. However, the majority of these studies consider building electricity demand and thermal load being satisfied by unidirectional electricity flow from the power grid or on-site renewable energy generation to electrical and thermal home appliances. Opportunities for leveraging low grade heat for electricity have largely been overlooked due to impracticality at small scale. In 2016, a modular pumped hydro storage technology was invented in Oak Ridge National Laboratory, named Ground Level Integrated Diverse Energy Storage (GLIDES). In GLIDES, employing high efficiency hydraulic machinery instead of gas compressor/turbine, liquid is pumped to compress gas inside high-pressure vessel creating head on ground-level. This unique design eliminates the geographical limitation associated with existing state of the art energy storage technologies. It is easy to be scaled for building level, community level and grid level applications. Using this novel hydro-pneumatic storage technology, opportunities for leveraging low-grade heat in building can be economical. In this research, the potential of utilizing low-grade thermal energy to augment electricity generation of GLIDES is investigated. Since GLIDES relies on gas expansion in the discharge process and the gas temperature drops during this non-isothermal process, available thermal energy, e.g. from thermal storage, Combined Cooling, Heat and Power system (CCHP), can be utilized by GLIDES to counter the cooling effect of the expansion process and elevate the gas temperature and pressure and boost the roundtrip efficiency. Several groups of comparison experiments have been conducted and the experimental results show that a maximum 12.9% cost saving could be achieved with unlimited heat source for GLIDES, and a moderate 3.8% cost improvement can be expected when operated coordinately with CCHP and thermal energy storage in a smart building.

Chen, Yang↗