Cost-Optimized Energy Management for Urban Multi-Story Residential Buildings with Community Energy Sharing and Flexible EV Charging

Nishadi Weerasinghe Mudiyanselage, Asma Aziz (), Bassam Al-Hanahi and Iftekhar Ahmad
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Nishadi Weerasinghe Mudiyanselage: School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia
Asma Aziz: School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia
Bassam Al-Hanahi: School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia
Iftekhar Ahmad: School of Engineering, Edith Cowan University, Joondalup, WA 6027, Australia

Sustainability, 2025, vol. 17, issue 21, 1-33

Abstract: Multi-story residential buildings present distinct challenges for demand-side management due to shared infrastructure, diverse occupant behaviors, and complex load profiles. Although demand-side management strategies are well established in industrial sectors, their application in high-density residential communities remains limited. This study proposes a cost-optimized energy management framework for urban multi-story apartment buildings, integrating rooftop solar photovoltaic (PV) generation, shared battery energy storage, and flexible electric vehicle (EV) charging. A Mixed-Integer Linear Programming (MILP) model is developed to simulate 24 h energy operations across nine architecturally identical apartments equipped with the same set of smart appliances but exhibiting varied usage patterns to reflect occupant diversity. A Mixed-Integer Linear Programming (MILP) model is developed to simulate 24 h energy operations across nine architecturally identical apartments equipped with the same set of smart appliances but exhibiting varied usage patterns to reflect occupant diversity. EVs are modeled as flexible common loads under strata ownership, alongside shared facilities such as hot water systems and pool pumps. The optimization framework ensures equitable access to battery storage and prioritizes energy allocation from the most cost-effective source solar, battery, or grid on an hourly basis. Two seasonal scenarios, representing summer (February) and spring (September), are evaluated using location-specific irradiance data from Joondalup, Western Australia. The results demonstrate that flexible EV charging enhances solar utilization, mitigates peak grid demand, and supports fairness in shared energy usage. In the high-solar summer scenario, the total building energy cost was reduced to AUD 29.95/day, while in the spring scenario with lower solar availability, the cost remained moderate at AUD 31.92/day. At the apartment level, energy bills were reduced by approximately 34–38% compared to a grid-only baseline. Additionally, the system achieved solar export revenues of up to AUD 4.19/day. These findings underscore the techno-economic effectiveness of the proposed optimization framework in enabling cost-efficient, low-carbon, and grid-friendly energy management in multi-residential urban settings.

Keywords: demand side management; multi-story buildings; EV charging; community energy sharing; solar PV; energy cost optimization (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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