Tariff-based load shifting for domestic cascade heat pump with enhanced system energy efficiency and reduced wind power curtailment

Le, Khoa Xuan; Huang, Ming Jun; Wilson, Christopher; Shah, Nikhilkumar; Hewitt, Neil

doi:10.1016/j.apenergy.2019.113976

Cited by 37 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…North West Europe (NWE), especially the British Isles and northern France, is particularly well suited for the electrification of domestic heating coupled to energy storage, due to it relatively mild winters resulting from the influence of the Atlantic ocean Peel, Finlayson and Mcmahon (2007); Colantuono, Wang, Hanna and Erdélyi (2014); Pozo-Vázquez, Tovar-Pescador, Gámiz-Fortis, Esteban-Parra and Castro-Díez (2004) , and due to the projected increased penetration there of renewables, particular aeoliangenerated power, which is already leading to curtailment when high wind generation and low demand occur simultaneously. As a very recent publication points out (Le, Huang, Wilson, Shah and Hewitt, 2020), most of the existing literature focuses on reducing running costs or energy consumption rather than aiming to increase the uptake of green electricity, as is found in the present study approach to CO 2 reduction.…”

Section: Introductionmentioning

confidence: 93%

RED WoLF: Combining a battery and thermal energy reservoirs as a hybrid storage system

Shukhobodskiy

Colantuono

2020

Applied Energy

View full text Add to dashboard Cite

Energy consumption of households is not evenly distributed. To satisfy peak demand, additional CO 2 intensive generators are turned on when demand peaks. To avoid peak demand from dwellings, the RED WoLF (Rethink Electricity Distribution Without Load Following) hybrid storage system is proposed, consisting of batteries, storage heaters and a water cylinder. This aims at avoiding the use of these peak generators and integrating a higher share of renewables on the Power Grid. This system is planned to be tested in 100 houses distributed in 6 pilot sites in Great Britain, Ireland and France, which are currently undergoing construction or refurbishment. This study presents the theoretical model of the controlling algorithm, which enables the uptake of Grid electricity only when CO 2 intensity is below a dynamically computed threshold. The algorithm is tested in computer simulations over the four seasons with varying size of batteries and photovoltaic arrays. Results show how RED WoLF algorithm satisfies households demands while, at the same time, successfully avoiding domestic peak demand, with a significant drop of CO 2 emissions. This is achieved by both increasing photovoltaic self-consumption and uptake of low carbon Grid energy. For example, with a 7 kWh battery and a 4 kW photovoltaic array, CO 2 emissions drop by 30% to almost 100%, depending on the season, relative to the same house without the RED WoLF system. The system has the potential to shift residential demand from peak power/peak times to low value electricity at a time of low demand.

show abstract

Section: Introductionmentioning

confidence: 93%

RED WoLF: Combining a battery and thermal energy reservoirs as a hybrid storage system

Shukhobodskiy

Colantuono

2020

Applied Energy

View full text Add to dashboard Cite

show abstract

“…PtHs contribute to both a better utilization of existing assets and use of temporary renewable surplus generation [65]. When there is an excess of generation, electricity is converted into heat, in this way, additional power in the situations of increased load, is provided contributing, in the same time, to peak shaving, load shifting and energy conservation [66]. Turning surplus of electricity into heat, including thermal energy storage, offers a significant additional flexibility with a great potential in stabilizing the power grid [67,68].…”

Section: Power-to-heat Technologies: Classificationmentioning

confidence: 99%

A Review of Thermochemical Energy Storage Systems for Power Grid Support

et al. 2020

View full text Add to dashboard Cite

Power systems in the future are expected to be characterized by an increasing penetration of renewable energy sources systems. To achieve the ambitious goals of the “clean energy transition”, energy storage is a key factor, needed in power system design and operation as well as power-to-heat, allowing more flexibility linking the power networks and the heating/cooling demands. Thermochemical systems coupled to power-to-heat are receiving an increasing attention due to their better performance in comparison with sensible and latent heat storage technologies, in particular, in terms of storage time dynamics and energy density. In this work, a comprehensive review of the state of art of theoretical, experimental and numerical studies available in literature on thermochemical thermal energy storage systems and their use in power-to-heat applications is presented with a focus on applications with renewable energy sources. The paper shows that a series of advantages such as additional flexibility, load management, power quality, continuous power supply and a better use of variable renewable energy sources could be crucial elements to increase the commercial profitability of these storage systems. Moreover, specific challenges, i.e., life span and stability of storage material and high cost of power-to-heat/thermochemical systems must be taken in consideration to increase the technology readiness level of this emerging concept of energy systems integration.

show abstract

“…As mentioned earlier, care should be taken when implementing real-time pricing to avoid creating a new network peak. Research by [50] recommended 3 am for starting night charge due to the highest curtailed wind or cheapest real-time price between 3 am-5 pm. It also recommended 2 pm for the starting day charge due to the higher ambient temperature between 2 pm-4 pm and hence the expected higher coefficient of performance of the heat pump.…”

Section: Real-time Tariff Designmentioning

confidence: 99%

Design, Valuation and Comparison of Demand Response Strategies for Congestion Management

et al. 2020

View full text Add to dashboard Cite

Decarbonisation of heat and transport will cause congestion issues in distribution networks. To avoid expensive network investments, demand flexibility is necessary to move loads from peak to off-peak periods. We provide a method and metric for assessing and selecting the optimal demand response strategy for a given network congestion scenario and applied it to a case study network in Coleraine, Northern Ireland. We proposed a Price Approximation/Mean Grouping strategy to deal with the issue of congestions occurring at the lowest-price period in real-time pricing schemes. The Mean Grouping strategy increased the average lowest-price hours from 1.32 to 3.76. We show that a three-cluster tariff is effective in solving medium congestion issues in Northern Ireland and could save consumers an average of £117/year on their heating bill. However, for networks with low headroom suffering from serious congestion issues, a smart control strategy is needed.

show abstract

Tariff-based load shifting for domestic cascade heat pump with enhanced system energy efficiency and reduced wind power curtailment

Cited by 37 publications

References 16 publications

RED WoLF: Combining a battery and thermal energy reservoirs as a hybrid storage system

RED WoLF: Combining a battery and thermal energy reservoirs as a hybrid storage system

A Review of Thermochemical Energy Storage Systems for Power Grid Support

Design, Valuation and Comparison of Demand Response Strategies for Congestion Management

Contact Info

Product

Resources

About