Customer enrollment and participation in building demand management programs: A review of key factors DOI Creative Commons
Jared Langevin, Kristen Cetin, Sara Willems

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 320, P. 114618 - 114618

Published: July 31, 2024

Increasing the efficiency and flexibility of electricity demand is necessary for ensuring a cost-effective reliable transition to zero-carbon systems. Such demand-side management (DSM) resources have been procured by utilities decades via energy response programs; however, key drivers program enrollment customer participation levels remain poorly understood — even as governments grid planners seek scale up deployment DSM assets meet climate targets. Here we systematically review evidence on multiple factors that may influence in building programs, focusing primarily residential commercial buildings. We examine contexts which relationships between outcomes are most often explored with methods; also score strength, direction, internal consistency each factor's reported impact outcomes. find studies commonly assess effects economic incentives load levels, using simulation-based methods lieu measured data. Few focus or regulatory either participation, gaps evident coverage emerging opportunities like electrification. Removal structural barriers (e.g., lack controls infrastructure) use third party services aggregators) largest positive impacts outcomes, but no single factor emerges clearly impactful. For given factor, range typically varies widely across relevant reviewed. Our findings provide snapshot state knowledge about decision-making, they expose understanding must be filled if expand critical resource operating clean power grids.

Language: Английский

A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy DOI Open Access
Roksana Yasmin, B. M. Ruhul Amin, Rakibuzzaman Shah

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 731 - 731

Published: Jan. 15, 2024

The transition from traditional fuel-dependent energy systems to renewable energy-based has been extensively embraced worldwide. Demand-side flexibility is essential support the power grid with carbon-free generation (e.g., solar, wind.) in an intermittent nature. As extensive consumers, commercial and industrial (C&I) consumers can play a key role by extending their participating demand response. Onsite reduce consumption grid, while storage (ESSs) variable shift storing for later use. Both technologies increase benefit integrating However, lack of knowledge about applicability increasing hinders active participation C&I response programs. This survey paper provides overview this context following methodology step-by-step literature review covering period 2013 2023. focuses on application onsite integrated presented analysis. also examines potential wastewater treatment plants. extended research plant identifies opportunities coupling biogas PV, extracting thermal hydrogen production. Finally, analysis summarised, followed critical recommendations future research.

Language: Английский

Citations

17
Driving change: Electric vehicle charging behavior and peak loading DOI Creative Commons
Baxter Williams, D. G. Bishop, Gary J. Hooper

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 113953 - 113953

Published: Oct. 21, 2023

Electric vehicles (EVs) are projected to comprise 40 % of Aotearoa New Zealand's light vehicle fleet by 2040. However, charging decisions made EV drivers, such as whether charge immediately or delay charging, will affect peak electricity demand and lifetime distribution network components. This study uses an agent-based model (ABM) investigate the effect different penetration levels owner on components in residential networks, although methodology is wholly generalizable other countries regions. Monte Carlo simulation performed for a neighborhood 71 houses, based representative network, simulated 20 days. The key outcome measure rate ‘Exceedance’ 300 kVA baseline transformer limit, where greater Exceedance entails shorter lifecycle increased maintenance capital costs provider. Results show delayed-charging algorithms (‘Altruistic charging’) decrease Exceedance, while drivers (‘Selfish increases Exceedance. networks expected accommodate transition with 100 Altruistic increase less than from without EVs. Selfish more 250 %. Longer-term, increasing household require workplace infrastructure, upgrades, and/or automated Internet Things (IoT)-enabled Demand Side Management (DSM) avoid high rates replacement costs.

Language: Английский

Citations

28
Recent advancement in demand side energy management system for optimal energy utilization DOI Creative Commons
Abraham Hizkiel Nebey

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 5422 - 5435

Published: May 21, 2024

To enhance the low reliability of supply that has resulted in an increasingly serious energy crisis and environmental problems, extensive research on new clean renewable management technologies with high effectiveness, cost, friendliness is required. Demand-side systems are effective tools for managing energy. Unfortunately, intermittent nature principal drawback sources. This necessitates development intelligent to increase system improve efficiency. excellent choice several reasons. Firstly, they enable consumers actively monitor control their usage, leading significant cost savings through reduced consumption during peak hours improved overall Recent advancements demand-side represent a shift towards more intelligent, flexible, sustainable practices, empowering utilities alike optimize usage contribute resilient efficient system. challenges demand response categories covered this paper. It also introduces analyzes fundamental strategies response. Finally, it gives description present difficulties potential future developments creation novel efficiency multilevel mechanisms.

Language: Английский

Citations

14
Advanced proactive anomaly detection in multi-pattern home appliances for energy optimization DOI
Alexios Papaioannou, Asimina Dimara, Stelios Krinidis

et al.

Internet of Things, Journal Year: 2024, Volume and Issue: 26, P. 101175 - 101175

Published: March 28, 2024

Language: Английский

Citations

5
The role of social learning on consumers’ willingness to engage in demand-side management: An agent-based modelling approach DOI Creative Commons
Sara Golmaryami, Manuel L. Nunes, Paula Ferreira

et al.

Smart Energy, Journal Year: 2024, Volume and Issue: 14, P. 100138 - 100138

Published: March 21, 2024

Achieving a sustainable energy future requires clean, affordable supply and active consumer engagement in the market. This study proposes to evaluate simulate consumers' willingness participate demand-side management programs using an agent-based modelling approach address social learning effect as key factor influencing behaviour. The proposed model simulates households' electricity interactions examining how shift usage is encouraged through environment, while accounting for diversity among consumers. Data from survey conducted Portugal, including questions about influence of recommendations friends or family members on individuals' engage demand response activities, are used test simulation. findings reveal that significantly impacts acceptance, yet extent this varies depending socio-economic characteristics confirms effective capturing dynamics supporting market decision making, providing valuable insights devising consumers strategies.

Language: Английский

Citations

5
Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization DOI Creative Commons
Liang Wang,

Nan Sun

Egyptian Informatics Journal, Journal Year: 2025, Volume and Issue: 29, P. 100611 - 100611

Published: Jan. 11, 2025

Language: Английский

Citations

0
Synthesis and exploration of heat transfer properties in diamond-like carbon copper composite films deposited on stainless steel substrates DOI
Mohd Sarim Khan, Lokendra Kumar Katiyar, C. Sasikumar

et al.

Surface and Coatings Technology, Journal Year: 2025, Volume and Issue: 498, P. 131871 - 131871

Published: Jan. 30, 2025

Language: Английский

Citations

0
Introduction to Network Sensing Systems in Society 5.0 DOI Open Access
Ankit Kumar,

Anurag Kumar Kanojiya,

D Subitha

et al.

Published: Feb. 2, 2025

Network Sensing System in Society 5.0 provides unprecedented connectivity and data-driven solutions to numerous societal problems. But they also raise many questions problems that need be resolved ensure are used effectively fairly. This content explores the key issues challenges of community. Since sensors collect transmit a lot data continuously, privacy security become an important issue. Strong protection encryption required prevent from leakage, unauthorized access, misuse. The integration sharing protocols depend on interoperability standardization sensor. So, systems can made more scalable efficient using different structures procedures. Transparency, impartiality, fairness among some ethical concerns under analysis algorithmic decision making. it is necessary take actions fair results get rid biases maintain trust bad outcomes. Detection focuses reliable power plans strong communication methods; therefore, infrastructure flexibility dependability very important. Such vulnerabilities might have potential cause disturbances may interfere with vital activities. Hence, invest redundancy resilience infrastructure. Energy safety due environmental impact processing. Energy-efficient renewable energy sources reduce these impacts promote sustainability. development technology, policy, business management creates uncertainty about responsibility control. Guidelines policies should developed address legal, ethical, social while promoting innovation community service. Public acceptance implementing 5.0. Transparent communication, engagement, meaningful feedback critical solving privacy, security, consequence issues.

Language: Английский

Citations

0
Residential Electricity Demand Modelling: Validation of a Behavioural Agent-Based Approach DOI Creative Commons
Baxter Williams, Russell Hooper,

Daniel Gnoth

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(6), P. 1314 - 1314

Published: March 7, 2025

The targets for reducing greenhouse gas emissions, combined with increased electrification and the use of intermittent renewable energy sources, create significant challenges in matching supply demand within distribution grid constraints. Demand response (DR) can shift electricity to align constraints, peak loads increasing utilisation generation. In countries like Aotearoa (New Zealand), are driven primarily by residential sector, which is a prime candidate DR. However, traditional deterministic stochastic models do not account important variability behavioural-driven thus cannot be used design or optimise This paper presents behavioural agent-based model (ABM) demand, validated using real data from transformers owned Powerco, an distributor Zealand). accurately predicts three neighbourhoods matches changes caused seasonal variation, as well effects COVID-19 lockdowns. Pearson correlation coefficients between median modelled above 0.8 83% cases, total variation typically 1–4%. Thus, this provides robust platform network planning, scenario analysis, DR program optimisation.

Language: Английский

Citations

0
Energy Optimisation in Aquaponics—Integrating Renewable Source and Water as Energy Buffer for Sustainable Food Production DOI Creative Commons
Abdul Aziz Channa, Kamran Munir, Mark Hansen

et al.

Energy Science & Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 5, 2025

ABSTRACT Aquaponics, a symbiotic integration of aquaculture and hydroponics, has emerged as promising solution for sustainable food production, offering efficient water land utilisation. However, the high energy costs associated with maintaining optimal conditions remain critical factor in ensuring its long‐term viability. While renewable sources like solar wind power can offset costs, their intermittent nature limits effectiveness. Batteries, often used buffers during these intermittencies, but introduce additional environmental concerns. This study presents novel optimisation approach aquaponic systems. We employed dynamic control algorithm to intelligently adjust temperature based on forecasts. By leveraging system thermal buffer, method reduces reliance grid thereby enhancing integration. Simulations reveal that this achieve up 26.9% annual reduction consumption systems compared conventional methods. strategy not only decreases usage also highlights potential aquaponics evolve into more cost‐effective production.

Language: Английский

Citations

0