Assessing domestic heat storage requirements for energy flexibility over varying timescales

Allison, John; Bell, Keith; Clarke, Joe; Cowie, Andrew; Elsayed, Ahmed; Flett, Graeme; Oluleye, Gbemi; Hawkes, Adam; Hawker, Graeme; Kelly, Nick; Castro, Maria Manuela Marinho de; Sharpe, Tim; Shea, Andrew; Strachan, Paul; Tuohy, Paul Gerard

doi:10.1016/j.applthermaleng.2018.02.104

Cited by 17 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where the problem variables include flexible capacity P F ∈ R ≥0 , and I&C flexible power consumption P I&C t ∈ R ≥0 . The objective function (29) includes the reward and operation costs, with the latter comprising the I&C DSR cost function and cost of energy. The first constraint (30) establishes the requirement for DSR load recovery, where e I&C is an energy recovery factor that determines percentage of DSR energy that…”

Section: Flexibility From Iandc Dsrmentioning

confidence: 99%

See 1 more Smart Citation

Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: a real case study

Sayfutdinov¹,

Patsios²,

Greenwood³

et al. 2021

Preprint

View full text Add to dashboard Cite

This paper proposes a two-step framework for techno-economic analysis of a demand-side flexibility service in distribution networks.Step one applies optimization-based modelling to propose a generic problem formulation which determines the offer curve, in terms of available flexible capacity and its marginal cost, for flexible distribution-connected assets. These offer curves form an input to the second step, which uses a multi-agent iterative game framework to determine the benefits of demand-side flexibility for the Distribution System Operator (DSO) and the service providers. The combined two-step framework simultaneously accounts for the objectives of each flexibility provider, technical constraints of flexible assets, customer preferences, market clearing mechanisms, and strategic bidding by service providers, omission of any of which can lead to erroneous results. The proposed two-step framework has been applied to a real case study in the North East of England to examine four market mechanisms and three bidding strategies. The results showed that among all considered market mechanisms, flexibility markets that operate under discriminatory pricing, such as pay-as-bid and Dutch reverse auctions, are prone to manipulations, especially in the lack of competition. In contrast, uniform pricing pay-as-cleared auction provides limited opportunities for manipulation even when competition is low.

show abstract

Section: Flexibility From Iandc Dsrmentioning

confidence: 99%

“…), and Flat. The share of each dwelling type corresponds to the area served by the case study network, while thermal conductance and thermal capacitance for each dwelling type have been derived from the data in [29,30].…”

Section: Heating Demandmentioning

confidence: 99%

Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: a real case study

Sayfutdinov¹,

Patsios²,

Greenwood³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…A more specific definition of the design problem is:  Given: Minimise the EAC of meeting dwelling energy demand to a residential user A detailed building model was developed in Environmental Systems Performance -Research (ESP-r) to determine the space heating and hot water demands [34]. The demands are evaluated based on building geometry, thermal characteristics and weather forecasts.…”

Section: Design Statementmentioning

confidence: 99%

“…Given the energy demands for different dwelling types, the space heating demand for a detached house, semi-detached house, terrace and flat are presented in Figure 2, associated hot water demand in Figure 3, summary provided in Table 1. Simulation models of four key UK house types is presented in Allison et al [34]. The simulation models enable the dynamic thermal demand (heating and hot water) of each house to be quantified over a range of different operating conditions.…”

Section: Design Problemmentioning

confidence: 99%

“…The simulation models enable the dynamic thermal demand (heating and hot water) of each house to be quantified over a range of different operating conditions. Occupancy, insulation levels, and construction thermal characteristics are defined in the earlier work done in Allison et al [34]. A micro-CHP, boiler and TES are available to satisfy the energy demand.…”

Section: Design Problemmentioning

confidence: 99%

See 1 more Smart Citation

An Optimisation Study on Integrating and Incentivising Thermal Energy Storage (TES) in a Dwelling Energy System

et al. 2018

Self Cite

View full text Add to dashboard Cite

In spite of the benefits from thermal energy storage (TES) integration in dwellings, the penetration rate in Europe is 5%. Effective fiscal policies are necessary to accelerate deployment. However, there is currently no direct support for TES in buildings compared to support for electricity storage. This could be due to lack of evidence to support incentivisation. In this study, a novel systematic framework is developed to provide a case in support of TES incentivisation. The model determines the costs, CO 2 emissions, dispatch strategy and sizes of technologies, and TES for a domestic user under policy neutral and policy intensive scenarios. The model is applied to different building types in the UK. The model is applied to a case study for a detached dwelling in the UK (floor area of 122 m 2), where heat demand is satisfied by a boiler and electricity imported from the grid. Results show that under a policy neutral scenario, integrating a micro-Combined Heat and Power (CHP) reduces the primary energy demand by 11%, CO2 emissions by 21%, but with a 16 year payback. Additional benefits from TES integration can pay for the investment within the first 9 years, reducing to 3.5-6 years when the CO2 levy is accounted for. Under a policy intensive scenario (for example considering the Feed in Tariff (FIT)), primary energy demand and CO2 emissions reduce by 17 and 33% respectively with a 5 year payback. In this case, the additional benefits for TES integration can pay for the investment in TES within the first 2 years. The framework developed is a useful tool is determining the role TES in decarbonising domestic energy systems.

show abstract

A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings

et al. 2018

View full text Add to dashboard Cite

Assessing domestic heat storage requirements for energy flexibility over varying timescales

Cited by 17 publications

References 13 publications

Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: a real case study

Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: a real case study

An Optimisation Study on Integrating and Incentivising Thermal Energy Storage (TES) in a Dwelling Energy System

A two-step optimization model for quantifying the flexibility potential of power-to-heat systems in dwellings

Contact Info

Product

Resources

About