{"title":"模拟及纾缓楼宇需求因应式暖气、通风及空调系统的使用寿命影响","authors":"Jerson Sanchez, Zhiming Jiang, Jie Cai","doi":"10.1080/19401493.2022.2094466","DOIUrl":null,"url":null,"abstract":"This paper presents a modelling methodology to characterize heating, ventilation and air-conditioning (HVAC) equipment lifetime impact of load controls and an aging-aware demand responsive control strategy for single-stage HVAC systems to strike a balance between the electric utility and HVAC life-cycle costs. To assess the control performance and evaluate potential trade-offs between energy consumption, utility cost and equipment lifetime impact, whole-month simulation tests for a single-zone office building have been conducted for the proposed aging-aware control strategy along with two benchmarking strategies – energy minimizing and utility cost minimizing controllers. Test results show that the aging-aware demand response strategy could result in reductions of HVAC equipment aging effect by 18.8% to 39.1% compared to the utility-priority controller. The total building operation cost, with the electricity utility and HVAC life-cycle costs combined, could be reduced by up to 13.2% compared to the utility minimizing strategy and by up to 16.1% compared to the energy minimization baseline.","PeriodicalId":49168,"journal":{"name":"Journal of Building Performance Simulation","volume":"297 1","pages":"771 - 787"},"PeriodicalIF":2.2000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling and mitigating lifetime impact of building demand responsive control of heating, ventilation and air-conditioning systems\",\"authors\":\"Jerson Sanchez, Zhiming Jiang, Jie Cai\",\"doi\":\"10.1080/19401493.2022.2094466\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a modelling methodology to characterize heating, ventilation and air-conditioning (HVAC) equipment lifetime impact of load controls and an aging-aware demand responsive control strategy for single-stage HVAC systems to strike a balance between the electric utility and HVAC life-cycle costs. To assess the control performance and evaluate potential trade-offs between energy consumption, utility cost and equipment lifetime impact, whole-month simulation tests for a single-zone office building have been conducted for the proposed aging-aware control strategy along with two benchmarking strategies – energy minimizing and utility cost minimizing controllers. Test results show that the aging-aware demand response strategy could result in reductions of HVAC equipment aging effect by 18.8% to 39.1% compared to the utility-priority controller. The total building operation cost, with the electricity utility and HVAC life-cycle costs combined, could be reduced by up to 13.2% compared to the utility minimizing strategy and by up to 16.1% compared to the energy minimization baseline.\",\"PeriodicalId\":49168,\"journal\":{\"name\":\"Journal of Building Performance Simulation\",\"volume\":\"297 1\",\"pages\":\"771 - 787\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Building Performance Simulation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/19401493.2022.2094466\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Building Performance Simulation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/19401493.2022.2094466","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Modelling and mitigating lifetime impact of building demand responsive control of heating, ventilation and air-conditioning systems
This paper presents a modelling methodology to characterize heating, ventilation and air-conditioning (HVAC) equipment lifetime impact of load controls and an aging-aware demand responsive control strategy for single-stage HVAC systems to strike a balance between the electric utility and HVAC life-cycle costs. To assess the control performance and evaluate potential trade-offs between energy consumption, utility cost and equipment lifetime impact, whole-month simulation tests for a single-zone office building have been conducted for the proposed aging-aware control strategy along with two benchmarking strategies – energy minimizing and utility cost minimizing controllers. Test results show that the aging-aware demand response strategy could result in reductions of HVAC equipment aging effect by 18.8% to 39.1% compared to the utility-priority controller. The total building operation cost, with the electricity utility and HVAC life-cycle costs combined, could be reduced by up to 13.2% compared to the utility minimizing strategy and by up to 16.1% compared to the energy minimization baseline.
期刊介绍:
The Journal of Building Performance Simulation (JBPS) aims to make a substantial and lasting contribution to the international building community by supporting our authors and the high-quality, original research they submit. The journal also offers a forum for original review papers and researched case studies
We welcome building performance simulation contributions that explore the following topics related to buildings and communities:
-Theoretical aspects related to modelling and simulating the physical processes (thermal, air flow, moisture, lighting, acoustics).
-Theoretical aspects related to modelling and simulating conventional and innovative energy conversion, storage, distribution, and control systems.
-Theoretical aspects related to occupants, weather data, and other boundary conditions.
-Methods and algorithms for optimizing the performance of buildings and communities and the systems which service them, including interaction with the electrical grid.
-Uncertainty, sensitivity analysis, and calibration.
-Methods and algorithms for validating models and for verifying solution methods and tools.
-Development and validation of controls-oriented models that are appropriate for model predictive control and/or automated fault detection and diagnostics.
-Techniques for educating and training tool users.
-Software development techniques and interoperability issues with direct applicability to building performance simulation.
-Case studies involving the application of building performance simulation for any stage of the design, construction, commissioning, operation, or management of buildings and the systems which service them are welcomed if they include validation or aspects that make a novel contribution to the knowledge base.