Demand flexibility and cost-saving potentials via smart building energy management: Opportunities in residential space heating across the US

被引:16
作者
Yang, Shiyu [1 ,2 ]
Gao, H. Oliver [1 ,3 ]
You, Fengqi [1 ,4 ]
机构
[1] Cornell Univ, Syst Engn, Ithaca, NY 14853 USA
[2] Oregon Inst Technol, Dept Elect Engn & Renewable Energy, Klamath Falls, OR 97601 USA
[3] Cornell Univ, Sch Civil & Environm Engn, Ithaca, NY 14853 USA
[4] Cornell Univ, Robert Frederick Smith Sch Chem & Biomol Engn, Ithaca, NY 14853 USA
来源
ADVANCES IN APPLIED ENERGY | 2024年 / 14卷
关键词
Demand flexibility; Electricity cost savings; Residential space heating; PCM thermal storage; Model predictive control; MODEL-PREDICTIVE CONTROL; PRICE-BASED CONTROL; PCM WALLBOARDS; STORAGE; SYSTEM; DECARBONIZATION; PERFORMANCE; IMPACT;
D O I
10.1016/j.adapen.2024.100171
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Leveraging demand-side flexibility resources (e.g., buildings) is a crucial and cost-effective strategy for addressing the operational and infrastructure-related challenges in power grids pursuing deep decarbonization with high renewable energy penetration. However, the demand flexibility opportunities and financial benefits for residential space heating, which are sizeable demand-side flexibility resources, through emerging building energy management solutions (i.e., smart control and phased change material (PCM) thermal storage) across the US are not fully understood. In this paper, we systematically assess the demand flexibility and cost-saving/revenue potentials in residential space heating through detailed building-level simulations for five consecutive years at a 5-min temporal resolution in 20 metro areas across the high-heating-demand regions of the US. The results show a high degree of synergy between PCM thermal storage and smart control, which enables substantial demand flexibility potential, reaching 98.5% of peak load shifting, and electricity cost-saving/revenue potential, reaching 338.3% of electricity cost reductions, for residential space heating in the US. By achieving such performance, adopting smart control and PCM thermal storage is financially viable in 50% of the tested metro areas. The results reveal that the demand flexibility and cost-saving/revenue potentials of residential space heating in the US are further enhanced by higher volatilities in electricity prices. Active PCM thermal storage has lower energy efficiency but much higher energy flexibility than passive PCM thermal storage. Based on the findings, recommendations for integrating PCM thermal storage and smart control systems within residential space heating are provided.
引用
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页数:24
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