Transactive control of a residential community with solar photovoltaic and battery storage systems

Yu, Danilo; Brookson, Aidan; Fung, Alan S.; Raahemifar, Kaamran; Mohammadi, Farahnaz

doi:10.1088/1755-1315/238/1/012051

Cited by 11 publications

(8 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Explanation for the 13.8% deviation for energy consumption in contrast with the literature is attributed to the difference in weather data used to conduct both simulations. In the study by Yu [48], actual weather data for 2017 was utilized to analysed total year electrical consumption. In this study, heat exchange process with outdoor weather data for 2016 was committed from work conducted by Brookson [2].…”

Section: Total House Energy Load Tou Energy Pricing and Ghg Emissions...mentioning

confidence: 99%

Modelling and Energy Management Control Study for a Net Zero Energy Home

Caputo

2024

Preprint

View full text Add to dashboard Cite

<p>This study analysis an energy model developed for a net zero energy (NZE) home based on the building characteristics of the Archetype Sustainable House (ASH), located in Toronto (Ontario, Canada). The model presents a complete energy consumption profile which includes space heating/cooling, domestic hot water heating (DHWH), appliance/lighting, mechanical ventilation and electric-vehicle (EV) battery charging. The house heating and cooling demand was evaluated against actual heating and cooling load targets and the energy consumption over a full year was determined to have been modelled with 90.73% accuracy. Energy production was then introduced in the model and the distribution of energy consumption and generation over summer and winter solstice days were compared with a similar study. The results indicated that the net energy consumption and production deviation was approximately -18% for the summer season and 18% for the winter season. Lastly, a control study was developed to evaluate the energy performance achieved by implementing a rule-based (RB) control strategy, with traditional optimization, based on peak-load shedding, GHG emissions and TOU energy cost (EC). Battery utilization (BU) was analogised with control strategies performance and a correlation was identified. The results obtained from the altered energy consumption profiles showed a 79.8% and 21.5% improvement in peak load shedding, 2.35% and 7.63% increase in GHG emissions and 8.35% and 61.14% reduction in EC for the summer and winter seasons respectively.</p>

show abstract

Section: Total House Energy Load Tou Energy Pricing and Ghg Emissions...mentioning

confidence: 99%

Modelling and Energy Management Control Study for a Net Zero Energy Home

Caputo

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Next, we can focus on innovations in community modelling using different variables and uncertainties. In [71], a comparison between the mixed integer linear programming technique and model-predicted control to simulate PV generated power flow is described, including fluctuations in electricity price and energy demand, and other uncertainties. Both techniques presented energy savings, but the use of model-predicted control turned out to be more effective, reaching up to 9% energy savings when compared to normal energy consumption operations.…”

Section: Modelling Toolsmentioning

confidence: 99%

PV Energy Communities—Challenges and Barriers from a Consumer Perspective: A Literature Review

2021

View full text Add to dashboard Cite

Renewable energy sources, in particular those based on solar radiation, are growing rapidly and are planned to play an instrumental role in building power systems to reach the 2030 and 2050 energy and climate mitigation objectives. However, new actors have been introduced into the energy field, highlighting the importance of the role of citizens and communities in building such energy systems. To outline the significance of citizens in the development of solar energy communities and to describe the benefits of and barriers to their implementation so far, a comprehensive literature review has been carried out based on 64 thoroughly selected, reliable scientific publications (published within 2015–2021), revealing the latest trends, technologies and research in this field. The research focuses on four consumer interest areas: policy, economic, technical and social, covering the following subsections: policy, trading model, economic assessment, business model, energy management, demand response, modelling tools and consumer adoption. Within each subsection the conducted review seeks to answer the questions related to the further development and implementation of PV energy communities, considering consumer needs and revealing the possible solutions.

show abstract

“…IoT devices installed to monitor, report, and control appliances and equipment in buildings collect vast amounts of data that provide insights into the behavior and the energy generation and consumption of occupants. IoT devices can be made to communicate with each other in a building, between buildings and the environment, and if provided with a standard platform to share information, can transform the economy [88] and the environment. IoT technologies implemented on a large scale combined with big data analytics can create smart homes [89], smart buildings [90], smart grids [91], smart transportation [92] and many more.…”

Section: Introductionmentioning

confidence: 99%

Cloud-based Smart Dual Fuel Switching System (SDFSS) of Hybrid Residential HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission

Demirezen

2024

Preprint

View full text Add to dashboard Cite

<p>A proper heating, ventilation, and air conditioning (HVAC) demand management system plays a prominent role in managing energy intake and taking a significant step towards sustainable housing with the goal of achieving net-zero emissions. Through experiments and simulations, this study investigated the viability of a recently developed adaptive cloud-based Smart Dual Fuel Switching Systems (SDFSSs) controller for residential hybrid HVAC systems. These systems consider various temporal parameters such as weather condition, building thermal demand, fuel price structure, and equipment capabilities into account to optimize space heating system operation, thereby lowering operating costs and greenhouse gas (GHG) emissions. Results show that by integrating SDFSS with existing ASHP technology, GHG emissions could be reduced by over 80 to 90% by 2030 with carbon pricing of $170/tonne. The results of this study could form a modelling and policy framework for different communities and regions. SDFSS would facilitate progressively and cost-effectively transitioning from existing fossil fuel-dominated heating systems to the low-carbon alternative of electric heat pumps powered by clean electricity. Due to the SDFSS’ responsiveness to the random and intermittent nature of renewable energy supply, hybrid heating systems equipped with SDFSS would facilitate wider penetration of renewable energy. Consequently, net-zero emissions could easily be achieved at a greatly accelerated pace before 2050.</p>

show abstract

Transactive control of a residential community with solar photovoltaic and battery storage systems

Cited by 11 publications

References 8 publications

Modelling and Energy Management Control Study for a Net Zero Energy Home

Modelling and Energy Management Control Study for a Net Zero Energy Home

PV Energy Communities—Challenges and Barriers from a Consumer Perspective: A Literature Review

Cloud-based Smart Dual Fuel Switching System (SDFSS) of Hybrid Residential HVAC System for Simultaneous Reduction of Energy Cost and Greenhouse Gas Emission

Contact Info

Product

Resources

About