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Stoter, Jasper (author)Seaport operators are becoming more environmentally conscious and are looking to electrify their terminals to reduce their greenhouse gas emissions. This leads to higher energy-related costs and more congestion on the electricity grid. This thesis investigates the potential of demand response as a viable strategy to reduce energy-related costs....master thesis 2023
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Bielefeld, S.E. (author), Cvetkovic, M. (author), Ramirez, Andrea (author)Electrification of processes and utilities is considered a promising option towards the reduction of greenhouse gas emissions from the chemical industry. Therefore, electricity demand is expected to increase steeply. Since the sources of future low-carbon electricity are variable in nature, there is a need for strategies to match availability...journal article 2023
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Martinez-Piazuelo, Juan (author), Ananduta, W. (author), Ocampo-Martinez, Carlos (author), Grammatico, S. (author), Quijano, Nicanor (author)We consider a large population of decision makers that choose their evolutionary strategies based on simple pairwise imitation rules. We describe such a dynamic process by the replicator dynamics. Differently from the available literature, where the payoffs signals are assumed to be updated continuously, we consider a more realistic scenario...journal article 2023
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Calabrò, Giovanni (author), Le Pira, Michela (author), Giuffrida, Nadia (author), Inturri, Giuseppe (author), Ignaccolo, Matteo (author), Correia, Gonçalo (author)This paper presents an agent-based model (ABM) to simulate and compare two different operation strategies of a public transport service in small-sized cities, namely a fixed-route transit (FRT) and a demand-responsive transport (DRT) service, under varying demand rates and supply configurations. The ABM builds upon a previous work by the...conference paper 2023
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Parmaksizoglou, I.A. (author), Bombelli, A. (author), Sharpanskykh, Alexei (author)Accessibility is one of the key performance indicators in the evaluation of a multimodal transport system and, as a result, transport planning has become increasingly more oriented towards it. Demand Responsive Transport (DRT) services have been proposed as a measure for increasing accessibility of a Public Transit (PT) network by servicing...conference paper 2023
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van der Heijden, T.J.T. (author), Palensky, P. (author), van de Giesen, N.C. (author), Abraham, E. (author)In this manuscript, we test the operational performance decrease of a probabilistic framework for Demand Response (DR). We use Day Ahead Market (DAM) price scenarios generated by a Combined Quantile Regression Deep Neural Network (CQR-DNN) and a Non-parametric Bayesian Network (NPBN) to maximise profit of a Battery Energy Storage System (BESS)...conference paper 2023
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van Tilburg, Jasper (author), Cavalcante Siebert, L. (author), Cremer, Jochen (author)This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limits of the electricity grid and prevent grid congestion by financially incentivizing residential consumers to reduce their energy consumption. The proposed approach...conference paper 2023
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Vatandoust, Behzad (author), Zad, Bashir Bakhshideh (author), Vallée, François (author), Toubeau, Jean François (author), Bruninx, K. (author)Demand Response (DR) programs offer flexibility that is considered to hold significant potential for enhancing power system reliability and promoting the integration of renewable energy sources. Nevertheless, the distributed nature of DR resources presents challenges in developing scalable optimization tools. This paper explores a novel data...conference paper 2023
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Lambregts, Dorien (author)The production and consumption of electricity need to be balanced at all times. Due to the ever-growing shift towards renewable energy generation, this poses an increasingly difficult challenge. Currently, supply is regulated to maintain balance. However, there is potential to improve reliability and save costs by shifting the balancing to the...master thesis 2022
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Soni, Anmol (author)Amidst the discourse regarding the decentralization of urban energy systems, energy community has emerged as a solution for optimizing the electricity demand and distributed generation. Community energy projects also facilitate collaboration amongst local prosumers. An energy community is a collective of residential electricity consumers (or...master thesis 2022
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Slits, Wouter (author)To match supply from intermittent renewable energy sources (RES) with demand, it is proposed in literature to introduce flexibility in the electricity market of the future. Flexibility can be provided by energy storage, demand response and cross-border transmission. In this thesis flexibility is modeled explicitly through the price mechanism of...master thesis 2022
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Leal Jauregui, Pedro (author)In the context of the energy transition, the energy sector is experiencing a paradigm shift towards electrification in a decentralized model, where renewable energy sources are becoming the protagonists. However, such shift comes with several challenges. In particular for this thesis, the intermittency of renewable energy sources coupled with...master thesis 2022
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Goedegebure, Niels (author), Hennig, R.J. (author)A higher share of renewables and electric vehicles increase the risk of congestion in electricity distribution systems. New distribution tariff designs have been proposed to prevent congestion. However, most modeling of tariff performance assumes deterministic price information. This paper proposes a method to assess the impact of price...conference paper 2022
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Sharif Azadeh, S. (author), Atasoy, B. (author), Ben-Akiva, Moshe E. (author), Bierlaire, M. (author), Maknoon, M.Y. (author)Urban mobility services face the challenge of planning their operations efficiently while complying with user preferences. In this paper, we introduce a new mathematical model called a choice-driven dial-a-ride problem (CD-DARP) which is a generalization of the dynamic DARP where passenger behavior is integrated in the operational planning...journal article 2022
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van der Heijden, T.J.T. (author), Lugt, D. (author), van Nooijen, R.R.P. (author), Palensky, P. (author), Abraham, E. (author)Participation in demand response (DR) has been explored for many large energy-using assets based on day ahead electricity markets. In this manuscript, we propose the use of multiple electricity spot markets to enable price-based DR for open canal systems in the Netherlands, where many large pumping stations are used for flood mitigation and...journal article 2022
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Pelka, S. (author), Chappin, E.J.L. (author), Klobasa, M. (author), De Vries, Laurens (author)Household electricity use has an increasing impact on the overall energy system. Numerous proposals have been made to support households to consume electricity in a system-friendlier manner. By breaking these proposals down into functions and how they are performed, this paper identifies four distinctive governance designs: energy communities,...review 2022
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Sharif Azadeh, S. (author), van der Zee, J. (author), Wagenvoort, M. (author)Sparsely populated areas tend to be poorly served by Fixed Line and Schedule (FLS) public transport systems as the operation of a regular bus line is not economically viable for such areas. Therefore, introducing a Demand Responsive Transport (DRT) to partially replace FLS can result in increasing mobility service accessibility and inclusion....journal article 2022
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Bartels, Emiel Aurelius (author), Pippia, T.M. (author), De Schutter, B.H.K. (author)Electrification of the heat network in buildings together with a rise in popularity of Electric Vehicles (EVs) will result in a need to make investments in the electrical energy infrastructure in order to prevent congestion. This paper discusses the influence of hydrogen in future smart microgrids on these investments. Moreover, smart control...journal article 2022
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van der Heijden, T.J.T. (author), Palensky, P. (author), van de Giesen, N.C. (author), Abraham, E. (author)In this manuscript we propose a methodology to generate electricity price scenarios from probabilistic forecasts. Using a Combined Quantile Regression Deep Neural Network, we forecast hourly marginal price distribution quantiles for the DAM on which we fit parametric distributions. A Non-parametric Bayesian Network (BN) is applied to sample from...conference paper 2022
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Gaona, David (author), Vermeer, W.W.M. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)An integrated energy system consisted of PV panels, EV (electric vehicle), BES (battery energy storage), and a HP (heat pump) coupled with thermal storage tanks (TES) has been studied. The research aimed to minimize the total energy costs by scheduling the optimal power consumption of each device as response to two external signals as part of a...conference paper 2022