State of the art of thermal storage for demand-side management

Arteconi, Alessia; Hewitt, Neil; Polonara, Fabio

doi:10.1016/j.apenergy.2011.12.045

Cited by 422 publications

(186 citation statements)

References 100 publications

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“…The resultant load change modifies the electric load profile e.g. of electrically driven air-conditioning systems by decoupling in time the demand for electrical demand and thermal power to yield operational benefits at the electric system level [74]. More study is needed on methods to optimize the response from the perspective of building operations, occupant impacts, and overall benefit to the grid.…”

Section: What Are the Key Research And Development Needs To Speed Futmentioning

confidence: 99%

Ten questions concerning integrating smart buildings into the smart grid

Lawrence

Boudreau

Helsen

et al. 2016

Building and Environment

121

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Recent advances in information and communications technology (ICT) have initiated development of a smart electrical grid and smart buildings. Buildings consume a large portion of the total electricity production worldwide, and to fully develop a smart grid they must be integrated with that grid. Buildings can now be 'prosumers' on the grid (both producers and consumers), and the continued growth of distributed renewable energy generation is raising new challenges in terms of grid stability over various time scales. Buildings can contribute to grid stability by managing their overall electrical demand in response to current conditions. Facility managers must balance demand response requests by grid operators with energy needed to maintain smooth building operations. For example, maintaining thermal comfort within an occupied building requires energy and, thus an optimized solution balancing energy use with indoor environmental quality (adequate thermal comfort, lighting, etc.) is needed. Successful integration of buildings and their systems with the grid also requires interoperable data exchange. However, the adoption and integration of newer control and communication technologies into buildings can be problematic with older legacy HVAC and building control systems. Public policy and economic structures have not kept up with the technical developments that have given rise to the budding smart grid, and further developments are needed in both technical and nontechnical areas.

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Section: What Are the Key Research And Development Needs To Speed Futmentioning

confidence: 99%

Ten questions concerning integrating smart buildings into the smart grid

Lawrence

Boudreau

Helsen

et al. 2016

Building and Environment

121

View full text Add to dashboard Cite

show abstract

“…The consistency of the matrix was checked to ensure the reliability of the criteria weights. Second, a fuzzy comparison matrix was aggregated according to Equations (6)- (9). Then, fuzzy synthetic extent of each criterion was integrated by using Equations (10)- (13).…”

Section: Phase 3 Phasementioning

confidence: 99%

“…Thus, it is crucial to encourage commercial enterprises to participate in DSM. Service activities, lighting, cooling, heating and office equipment related to different enterprises mainly contribute to the energy consumption [9]. The main contributions of this paper are: (1) To the best of our knowledge, this is the first study on DSM performance in the commercial sector.…”

Section: Introductionmentioning

confidence: 99%

Demand Side Management Performance Evaluation for Commercial Enterprises

2016

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Demand Side Management in power systems plays an important role in ensuring a reliable power supply and protecting the environment. Demand Side Management in the commercial sector is vital for sustainable development during China's industrial restructuring. A hybrid multi-criteria decision making framework for evaluating Demand Side Management performance of commercial enterprises is proposed from a sustainability perspective. A fuzzy Analytic Hierarchy Process is employed to determine the weights of the criteria and a fuzzy technique for order preference by similarity to an ideal solution is applied to rank Demand Side Management performance. An evaluation index system is built, containing economic, social, environmental and technical criteria associated with 15 sub-criteria. Four groups of expert panels from government departments, research institutions, electricity utilities and commercial enterprises gave judgments on criteria weights and criteria performances for alternatives. The effectiveness of the proposed hybrid framework was demonstrated through a case study in Beijing, in which Demand Side Management performances of four alternatives were ranked. Sensitivity analysis results indicate that the hybrid framework is robust.

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“…Although the Thermal Energy Storage (TES) is a very potential powerful instrument in DSM programs [5], and the efficiency of the whole system can be extremely enhanced by using heat pumps as energy efficient heating equipment; but this combination has not been studied intensively in the DSM strategies. A study in [6] analyzed heat pump coupled with TES under a DSM strategy designed to flatten the electricity load curve by switching off the heat pump during specific peak hours.…”

Section: Introductionmentioning

confidence: 99%

Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings

Awadelrahman¹,

Zong²,

Li³

et al. 2017

EPE

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This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The investigated heating system consists of an air source heat pump (ASHP) incorporated with a hot water tank as active Thermal Energy Storage (TES), where two optimization problems are integrated together to optimize both the ASHP electricity consumption and the building heating consumption utilizing a heat dynamic model of the building. The results show that the proposed EMPC can save the energy cost by load shifting compared with some reference cases.

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State of the art of thermal storage for demand-side management

Cited by 422 publications

References 100 publications

Ten questions concerning integrating smart buildings into the smart grid

Ten questions concerning integrating smart buildings into the smart grid

Demand Side Management Performance Evaluation for Commercial Enterprises

Economic Model Predictive Control for Hot Water Based Heating Systems in Smart Buildings

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