ASME Journal of Engineering for Sustainable Buildings and Cities最新文献_第4页

The Value of Agile Thermal Systems: A Real-World Approach to Modeling and Prioritizing Agility Versus Efficiency 敏捷热系统的价值:对敏捷与效率进行建模和优先排序的现实方法

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-05-01 DOI: 10.1115/1.4062764

Russell Goldfarbmuren

引用次数: 0

Comparative Analysis Optimal Designs for Passive, Electrified, and Net Zero Energy Residential Buildings 被动式、电气化和净零能耗住宅建筑的比较分析优化设计

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-04-17 DOI: 10.1115/1.4062325

E. Schwartz, M. Krarti

引用次数: 0

Moroccan consumer Energy Consumption itemsets and Inter-Appliance Associations using Machine Learning Algorithms and Data Mining Techniques 使用机器学习算法和数据挖掘技术的摩洛哥消费者能源消耗项目集和设备间协会

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-03-10 DOI: 10.1115/1.4062113

Abdelfattah Abassi, A. Arid, Hussain Benazza

引用次数: 0

Evaluation and Validation of Microscale Atmospheric Modeling with Offline Weather Research and Forecasting Model to Parallelized Large-eddy Simulation Model Forcing Conditions 基于离线天气研究预报模式的微尺度大气模拟对并行大涡模拟模式强迫条件的评估与验证

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-03-10 DOI: 10.1115/1.4062112

Shuv Dey, Evan Mallen, B. Stone, Yogendra P Joshi

{"title":"Evaluation and Validation of Microscale Atmospheric Modeling with Offline Weather Research and Forecasting Model to Parallelized Large-eddy Simulation Model Forcing Conditions","authors":"Shuv Dey, Evan Mallen, B. Stone, Yogendra P Joshi","doi":"10.1115/1.4062112","DOIUrl":"https://doi.org/10.1115/1.4062112","url":null,"abstract":"\u0000 As the rate of urbanization increases, local vegetation is being replaced with man-made materials, causing increasingly adverse impacts on the surface-atmosphere energy balance. These negative effects can be simulated by modeling the urban landscapes in question; however, the main challenges of modeling urban thermal environments are the scale and resolution at which to perform such tasks. Current modeling of urban thermal environments is typically limited to either mesoscale (1 km to 2,000 km) or microscale (< 1 km) phenomena. In the present work, an open-source framework for one-way upstream coupled multiscale urban thermal environment simulations is examined and validated. This coupled simulation can provide valuable insights about the flow behavior and energy transport between mesoscale and microscale interactions. The mesoscale to microscale boundary conditions are coupled together using simulated data from the Advanced Research Weather Research and Forecasting Model (WRF-ARW), a mesoscale numerical weather prediction software, and assimilating it into Parallelized Large-eddy Simulation Model (PALM), a computational fluid dynamics style (CFD-style) software designed for microscale atmospheric flows. The multiscale simulations are tested for grid sensitivity to variations in model input and control parameters, and then experimentally validated against distributed sensor measurements at the Georgia Institute of Technology (Georgia Tech) in Atlanta, GA. Validated microscale atmospheric models with heterogeneous domains can be used to project the thermal benefits of urban heat mitigation strategies and advise building energy usage modeling and policies.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127684834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analyzing harmony and discord among optimal building controllers responding to energy, cost, and carbon reduction objectives 分析最优建筑控制器之间的和谐与不和谐，以响应能源、成本和碳减排目标

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-02-23 DOI: 10.1115/1.4056962

Lilyi Li, G. Pavlak

{"title":"Analyzing harmony and discord among optimal building controllers responding to energy, cost, and carbon reduction objectives","authors":"Lilyi Li, G. Pavlak","doi":"10.1115/1.4056962","DOIUrl":"https://doi.org/10.1115/1.4056962","url":null,"abstract":"\u0000 Optimization and control of building thermal energy storage holds great potential for unlocking demand-side flexibility. As information regarding grid operations become available, grid-interactive building controls inherently become a multi-objective problem. Typical multi-objective optimization frameworks often introduce greater complexity and are less favorable for achieving widespread adoption. With the goal of easing deployment of advanced building controls and aiding the building-to-grid integration, this work aims to evaluate the trade-offs and degrees of sub-optimality introduced by implementing single-objective controllers only. We formulate and apply a single-objective, model predictive control (MPC) framework to individually optimize building thermal storage assets of two types of commercial buildings, informed by future grid scenarios, around energy, economic, environmental and peak demand objectives. For each day, we compare the building's performance in every category as if it had been controlled by four separate single-objective controllers. We reveal the level of harmony that exists between these simple single-objective problems and quantify the potential loss in three of the objectives if the optimal control problem were to respond to only one of the grid signals. Results show that on most days, the carbon and energy controllers retained most of the savings in energy, cost, and carbon. Trade-offs were observed between the peak demand controller and the other objectives, and during extreme energy pricing events. These observations are further discussed in terms of their implications for the design of grid-interactive building incentive signals and utility tariffs.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117341498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of Sustainable Buildings in Arid Environment on the Indoor and Outdoor Air Quality: Workshop Report 干旱环境下可持续建筑对室内外空气质量的影响:研讨会报告

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2023-01-24 DOI: 10.1115/1.4056545

A. Beitelmal, J. Gonzalez-Cruz, C. Fountoukis

{"title":"Impact of Sustainable Buildings in Arid Environment on the Indoor and Outdoor Air Quality: Workshop Report","authors":"A. Beitelmal, J. Gonzalez-Cruz, C. Fountoukis","doi":"10.1115/1.4056545","DOIUrl":"https://doi.org/10.1115/1.4056545","url":null,"abstract":"\u0000 Qatar Environment and Energy Research Institute (QEERI) hosted a workshop entitled “Impact of Sustainable Buildings in Arid Environment on the Indoor and Outdoor Air Quality,” held in Doha, Qatar, on May 17–19, 2022, co-funded by the Qatar National Research Fund (QNRF), and co-organized by City College of New York (CCNY). The workshop provided a premier interdisciplinary platform for local researchers and enablers to engage and exchange knowledge and experiences with international leading practitioners and subject matter experts in the fields of sustainable buildings, indoor and outdoor air quality, and the urban heat island phenomena. A diverse number of regional partners and stakeholders were represented. The workshop benefitted from a pool of invited international subject experts from various universities and entities. The outcome-driven workshop included breakout sessions where participants actively engaged in brainstorming discussions guided by facilitators. The discussions focused on driving impact in Qatar and beyond by examining the current research landscape and identifying collaborative opportunities. The short-term and long-term outcomes of potential initiatives and project proposals are outlined in this summary. An example of a short-term outcome is the proposed collaborative project to investigate the impact of almost doubling the state of Qatar’s population (over 1.5 million fans are expected to visit the country during the World Cup causing a shock to the system) on vital elements in the city, such as mobility, telecommunication services, and the local environment. In addition, multiple potential research proposals with international collaborations were proposed. A special issue on the subject in the Journal of Engineering for Sustainable Buildings and Cities was recommended as an immediate actionable outcome.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115582640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OPTIMIZATION OF ENERGY STORAGE SYSTEMS AND DEMAND SIDE MANAGEMENT TO MAXIMIZE WATER UTILITY SAVINGS: A HAWAII CASE STUDY 优化能源储存系统和需求侧管理以最大限度地节约用水:夏威夷案例研究

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2022-12-22 DOI: 10.1115/1.4056544

Yogesh Manoharan, K. Olson, A. Headley

{"title":"OPTIMIZATION OF ENERGY STORAGE SYSTEMS AND DEMAND SIDE MANAGEMENT TO MAXIMIZE WATER UTILITY SAVINGS: A HAWAII CASE STUDY","authors":"Yogesh Manoharan, K. Olson, A. Headley","doi":"10.1115/1.4056544","DOIUrl":"https://doi.org/10.1115/1.4056544","url":null,"abstract":"\u0000 Energy conservation is a concern in many commercial industries, and consequently facility operators are turning to various efficiency and alternative measures to reduce electricity costs. Growing use of intermittent resources, energy storage systems (ESSs) and demand side management (DSM) options are also gaining interest to maximize potential energy savings. Here we study the potential of ESSs versus DSM for water utilities through a case study of the National Energy Laboratory of the Hawaii Authority (NELHA). NELHA is a multizone water utility, where most electricity is dedicated to pumping water. In this study the optimization of the NELHA's overall electricity charges, using both ESSs or DSM via pump load shifting and optimization of pump house output is investigated. Optimization is performed to determine the optimal size of the batteries considering the water demand and energy costs in each zone. An extended approach of considering the characteristics of individual pumps on each pump house in the optimization model is applied to provide insight to the proper optimization framework for selecting individual pumps depending on the current zonal load, given pump efficiencies and maximum flow rates from each pump. The outcome from mathematical models using general quadratic pump efficiency functions and a simplified linear version of pump efficiency is compared to determine the significance of this difference in modeling methodology. Additionally, the effect of increasing solar power on electricity purchased is analyzed. This work will help to establish the role of ESS and DSM in energy savings for water utility industry.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126582792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Dynamic Photovoltaic Shading Systems on Energy Performance of Commercial Buildings 动态光伏遮阳系统对商业建筑能源性能的影响

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2022-12-05 DOI: 10.1115/1.4056394

Dana Alwelayti, Ammar H. A. Dehwah, M. Krarti

{"title":"Assessment of Dynamic Photovoltaic Shading Systems on Energy Performance of Commercial Buildings","authors":"Dana Alwelayti, Ammar H. A. Dehwah, M. Krarti","doi":"10.1115/1.4056394","DOIUrl":"https://doi.org/10.1115/1.4056394","url":null,"abstract":"\u0000 In this paper, the energy benefits of dynamic PV-integrated overhang systems are evaluated for office buildings. The benefits of dynamic PV-integrated overhangs combined energy efficiency by decreasing both heating and cooling energy demand and on-site renewable power generation by deploying tracking PV panels. The energy performance of dynamic PV-integrated overhangs is considered for various design and operation conditions. Specifically, the impacts of various design features are considered such as overhang depth, window size, glazing type, and HVAC system type. Moreover, the effects of operating conditions are assessed including the location of the building and the control strategy of the dynamic PV-integrated systems such as load tracking, demand tracking, and PV tracking. The results of the various analyses indicate that the heating and cooling energy demands of the dynamic overhangs are mostly affected by the window glazing type and window overhang depths. The analysis shows that the use of demand tracking maximizes the energy performance of the dynamic PV-integrated overhangs when deployed to US office buildings.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122489081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neural Network-Based Building Energy Models for Adapting to Post-Occupancy Conditions: A Case Study for Florida 基于神经网络的建筑能源模型适应入住后的条件:佛罗里达州的案例研究

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2022-12-02 DOI: 10.1115/1.4056393

Mariana Migliori, H. Najafi, A. Fabregas, Troy V. Nguyen

{"title":"Neural Network-Based Building Energy Models for Adapting to Post-Occupancy Conditions: A Case Study for Florida","authors":"Mariana Migliori, H. Najafi, A. Fabregas, Troy V. Nguyen","doi":"10.1115/1.4056393","DOIUrl":"https://doi.org/10.1115/1.4056393","url":null,"abstract":"\u0000 Building energy models (BEMs) are developed by subject matter experts during the design phase to help with decision making for achieving a more energy-efficient design. A BEM that is created based on “as-designed” condition to predict building energy consumption can become much less accurate during the lifetime of the building given the potential changes to the “in-operation” conditions. While BEMs can be adjusted to address operational changes, the end-user (i.e. building owners) usually do not possess the knowledge to update physics-based models (e.g., eQuest) and therefore the initial BEM may no longer be useful to them. In the present paper, an approach is proposed and assessed through which a physics-based model is developed using eQuest and simulated for several different operating conditions. The resulting data are then used for training an artificial neural network (ANN) which serves as a simple and data-driven model for prediction of building energy consumption in response to changes in operating conditions. A case study is performed for a building in Melbourne, FL to explore the changes occurred in the building schedule of operation during COVID-19 pandemic and it's impact on the performance of BEM. The trained ANN is tested against the actual measured data for energy consumption under different scenarios and good agreement between the results are found. The approach presented can be used to establish data-driven BEMs that remain accurate in response to sudden changes in building operating conditions.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Reducing energy use in light industrial buildings in Southeast Asia: A Singaporean case study 减少东南亚轻工业建筑的能源使用:一个新加坡的案例研究

ASME Journal of Engineering for Sustainable Buildings and Cities Pub Date : 2022-11-08 DOI: 10.1115/1.4056201

Guo Li, T. Anderson

{"title":"Reducing energy use in light industrial buildings in Southeast Asia: A Singaporean case study","authors":"Guo Li, T. Anderson","doi":"10.1115/1.4056201","DOIUrl":"https://doi.org/10.1115/1.4056201","url":null,"abstract":"\u0000 In recent years there has been an increased interest in improving the energy efficiency of the Southeast Asian building sector. However, much of this work has focused on residential and commercial buildings rather than industrial buildings. Therefore, this work undertook a case study of the energy used in a Singaporean industrial building complex typical of those used in the light manufacturing sector in the region. A building energy simulation analysis was performed on the x91as built’ building and was validated using measured energy usage data. Subsequently a parametric analysis was utilized to identify opportunities for reducing energy use on the site. The results indicate that energy savings of over 15% could be achieved by improving the performance of the industrial equipment, HVAC system, lighting, and building thermal envelope. Of these factors, improving the energy efficiency of the equipment and relaxing the HVAC setpoint temperature accounted for over 10%. Given the typical nature of the building, it is believed that the results are indicative of what may be achievable in other light manufacturing complexes in Southeast Asia, and in similar locations more generally.","PeriodicalId":326594,"journal":{"name":"ASME Journal of Engineering for Sustainable Buildings and Cities","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128838017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0