Sustainable and cost-efficient energy supply and utilisation through innovative concepts and technologies at regional, urban and single-user scales

Piacentino, Antonio; Duić, Neven; Markovska, Nataša; Mathiesen, Brian Vad; Guzović, Zvonimir; Eveloy, Valérie; Lund, Henrik

doi:10.1016/j.energy.2019.06.015

Cited by 41 publications

(15 citation statements)

References 148 publications

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“…There are many other methods used in determining the causality between nuclear energy consumption and economic growth. Dumitrescu and Hurlin tests is one of the most recently used (Bekun et al, 2019a; Piacentino et al, 2019; Rahman & Velayutham, 2020). Wolde‐Rufael (2010) adopted the Bounds Test Approach in determining the relationship between nuclear energy consumption and economic growth for India, and discovered that a short‐ and long‐term relationship exists between nuclear energy and economic growth.…”

Section: Literature Reviewmentioning

confidence: 99%

Nuclear energy consumption and economic growth in the UK: Evidence from wavelet coherence approach

Kırıkkaleli

Adedoyin

Bekun

2020

Journal of Public Affairs

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The aim of this present study is to assess the causal link between nuclear energy consumption and economic growth in the United Kingdom using Toda Yamamoto causality and wavelet coherence tests with the objective of responding to the following questions: (a) Does consumption of nuclear energy lead to economic growth in the United Kingdom and/or does economic growth lead to the consumption of nuclear energy sources in the United Kingdom, and (b) if so, why? The findings from wavelet coherence reveal that changes in economic growth lead to changes in nuclear energy consumption in the United Kingdom at different frequencies, especially in the long‐run, and in different periods between 1998 and 2017. In addition, there is a positive correlation between nuclear energy consumption and economic growth between 2002 and 2006 in the short‐run. In this study, we also check the consistency of the findings from wavelet coherence which is confirmed by the outcomes of Toda Yamamoto causality test. Therefore, the present study is likely to attract great interest from the policy‐makers and researchers in this field. At the same time, it is likely to start a new debate.

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Section: Literature Reviewmentioning

confidence: 99%

Nuclear energy consumption and economic growth in the UK: Evidence from wavelet coherence approach

Kırıkkaleli

Adedoyin

Bekun

2020

Journal of Public Affairs

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“…Due to increasing concerns on environment sustainability, policy makers, researchers, and practitioners have recently devoted attention to strategic actions aimed at energy efficiency and energy savings [1]- [3]. The growing energy demand and penetration of renewable energies pose several challenges to grid operators and thus motivate the acclaimed roll-out of the smart grid concept [4].…”

Section: Introductionmentioning

confidence: 99%

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

Carli

Dotoli

Jantzen

et al. 2020

Energy

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This paper focuses on the Model Predictive Control (MPC) based energy scheduling of a smart microgrid equipped with non-controllable (i.e., with fixed power profile) and controllable (i.e., with flexible and programmable operation) electrical appliances, as well as photovoltaic (PV) panels, and a battery energy storage system (BESS). The proposed control strategy aims at a simultaneous optimal planning of the controllable loads, the shared resources (i.e., the storage system charge/discharge and renewable energy usage), and the energy exchange with the grid. The control scheme relies on an iterative finite horizon on-line optimization, implementing a mixed integer linear programming energy scheduling algorithm to maximize the self-supply with solar energy and/or minimize the daily cost of energy bought from the grid under timevarying energy pricing. At each time step, the resulting optimization problem is solved providing the optimal operations of controllable loads, the optimal amount of energy to be bought/sold from/to the grid, and the optimal charging/discharging profile for the BESS. The proposed energy scheduling approach is applied to the demand side management control of the marina of Ballen, Samsø (Denmark), where a smart microgrid is currently being implemented as a demonstrator in the Horizon2020 European research project SMILE. Simulations considering the marina electric consumption (340 boat sockets, a service building equipped with a sauna and a wastewater pumping station, and the harbour master's office equipped with a heat pump), PV production (60kWp), and the BESS (237kWh capacity) based on a public real dataset are carried out on a one year time series with a 1 hour resolution. Simulations indicate that the proposed approach allows 90% exploitation of the production of the PV plant. Furthermore, results are compared to a naïve control approach. The MPC based energy scheduling improves the self-supply by 1.6% compared to the naïve control. Optimization of the business economy using the MPC approach, instead, yields to 8.2% savings in the yearly energy cost with respect to the naïve approach.

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“…Existing systems are accordingly designed with a focus on efficient operation of the CHP plant as their central element (cf. [7]- [10]). A characteristic feature of many renewable energy generation plants is fluctuating generation.…”

Section: Components Of Heat Supply Systemsmentioning

confidence: 99%

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

Witte-Humperdinck¹,

Thommessen²,

Nigbur³

et al. 2021

Atlantis Highlights in Engineering

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Combined heat and power (CHP) plants are the main supply source in Germany's district heating systems (DHS). Usually the generated power is fed into the power grid. Because CHP plants normally come along with thermal storages the heat supply operation is flexible, so that the electricity production can be optimized, e.g. by producing at times with attractive in-feed tariffs. However, in the course of the necessary transformation of all energy systems, renewable energy sources are increasingly being integrated into existing infrastructures. DHS operators are also involved in the expansion of renewable heat, e.g. by implementing solar thermal plants or large-scale heat pumps. In order to increase the share of renewable energy in DHS, thermal storage operation becomes essentially important. On the one hand, as much renewable heat as possible should be used or stored and on the other hand, CHP plants must run and fill t he s torage i f t he r ecoverable a mount f rom t he electricity sector is economically justifiable. B oth i mply l ess f ree storage capacity, whereas the chronological harmonization of loading and unloading plays an important role. The contribution of this paper is an analysis on different operation strategies for thermal storages to increase the share of renewable energy in urban DHS. Furthermore, the influence of heat load prediction and electricity price forecasting on thermal storage operation is derived. Results of a comparison of typical storage operation methods on a use case show that under the current legal framework conditions a flexible t hermal s torage o peration i s e ligible t o m eet several targets, i.e. increasing the share of renewable energy, securing the supply of heat to the DHS and ensuring an economic operation of the entire portfolio.

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Sustainable and cost-efficient energy supply and utilisation through innovative concepts and technologies at regional, urban and single-user scales

Cited by 41 publications

References 148 publications

Nuclear energy consumption and economic growth in the UK: Evidence from wavelet coherence approach

Nuclear energy consumption and economic growth in the UK: Evidence from wavelet coherence approach

Energy scheduling of a smart microgrid with shared photovoltaic panels and storage: The case of the Ballen marina in Samsø

Comparison of Strategies for Thermal Storage Operation to Increase the Share of Renewable Energy in District Heating Systems

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