• Energy Research

HVDC innovations and the integration of power markets and renewables drive the development of a European Northern Seas offshore grid. This power transmission system performs two functions: interconnecting Northern European onshore power systems, and connecting offshore wind farms. Despite its benefits, the development of an integrated offshore grid combining the two functions is slow. The main reasons are the lack of cooperation and governance frameworks to overcome regional differences and distribute costs and benefits. These barriers were studied so far only qualitatively or through perfect foresight optimization models. We complement this by studying transmission expansion pathways of the grid, which are non-optimal and path dependent, using a novel and open-source simulation model for offshore transmission investments. Different expansion typologies are considered, which we find perform the grid functions with different levels of integration and transmission capacities. Besides these typology factors, modelling and simulation factors also affect the expansion selection. Typology, modelling and simulation factors interact to result in radically different offshore grid pathways, which exhibit strong path dependence. Thus, to avoid locking-out beneficial expansions for the Northern Seas offshore grid, planning should be regional and consider HVDC innovations. Then individual projects can be implemented based on their own merits.

This paper proposes an approach to capturing and reviewing scientific literature addressing latent topics across multiple scientific fields. As latent topics like moral values are affected by word polysemy and synonymy, a traditional keyword-based approach is often ineffective and therefore inappropriate. As a result, scientific literature addressing latent topics tends to be fragmented thereby constraining efforts to address similar and complementary research challenges. A novel approach to reviewing the literature by utilizing both semantic fields and probabilistic topic models has therefore been developed. We illustrate this approach by reviewing the literature addressing the value justice in the energy sector and compare this with a regular keyword-based approach. The new approach results in a more complete overview of the relevance of energy justice as compared to the traditional keyword-based approach. This novel approach can be applied to other latent topics including other values or phenomena such as societal resistance to technologies, thereby leading to an increased understanding of existing relevant literature and the identification of new areas of research.

The various governmental policies aimed at reducing the dependence on fossil fuels for space heating and the reduction in its associated emission of greenhouse gases such as CO2 demands innovative measures. District heating systems using residual industrial waste heats could provide such an efficient method for house and space heating. In such systems, heat is produced and/or thermally upgraded in a central plant and then distributed to the final consumers through a pipeline network. This paper studies the technical, economic, institutional and environmental feasibilities of using low-level residual industrial waste heat for the district heating of Delft, The Netherlands. An integrated conceptual design approach that takes into account both the technical and institutional design of the system has been adopted and has resulted in a feasible and robust system design. The technical part of the integrated conceptual design consisted in the estimation of the heat demands, the design of the heat upgrading system, equipment sizing, the network morphology and/or spatial connectivity and the exergy losses in the needed infrastructure as well as the economic viability of the system. An isopropanol–hydrogen–acetone chemical heat pump was selected for the process and has been modelled in ASPEN plus®. The conventional cost estimation model has been modified to account for uncompensated system downtimes.

In community energy systems, the energy demand of a group of households is met by collectively generated electricity and heat from renewable energy sources. What makes these systems unique is their collective and collaborative form of organization and their distributed energy generation. While these features are crucial to the resilience of these systems and are beneficial for the sustainable energy transition in general, they may at the same time undermine the security of energy within these systems. This paper takes a comprehensive view of the energy security of community energy systems by considering dimensions such as energy price, environment and availability, which are all impacted by decentralized and collective means of energy generation and distribution. The study analyses community energy systems' technical and institutional characteristics that influence their energy security. An agent-based modelling approach is used for the first time to study energy security, focusing on thermal energy communities given the considerable share of thermal energy applications such as heating, cooling, and hot tap water. The simulation results articulate that energy communities are capable of contributing to the energy security of individual households. Results demonstrated the substantial potential of energy communities in CO2 emissions reduction (60% on average) while being affordable in the long run. In addition, the results show the importance of project leadership (particularly regarding the municipality) concerning energy security performances. Finally, the results reveal that the amount of available subsidy and natural gas prices are relatively more effective for ensuring high energy security levels than CO2 taxes. ; Energie and Industrie ; Organisation & Governance ; Economics of Technology and Innovation ; Applied Sciences

Abstract Several carbon capture and storage (CCS) projects around the world were cancelled, delayed or are on hold due to different types of barriers, such as: economic, legal, social and technical. Previous works treat these barriers as independent factors, ignoring potential interactions and possibly providing wrong information. This paper presents the findings of a survey in which experts evaluate the main barriers hampering the deployment of the ROAD project, in the Netherlands. Using the Analytic Hierarchy Process (AHP) and the Decision Making Trial and Evaluation Laboratory (DEMATEL) methods, we have concluded that: (i) CCS barriers are highly interconnected; (ii) “CO2 price” and “financial incentives” are the most important barriers and should be priorities for investments; (iii) “CO2 price” highly influences other barriers; (iv) “financial incentives” is very much influenced by them; (v) policy recommendations should take into consideration how these barriers influence each other. Our study recommends caution to policy-makers using the results from previous works, once that they may not reproduce correctly the ranking of the barriers, which may lead to incorrect analysis and conclusions.

In order to decarbonize the energy sector, there is a widespread consensus that the role of end-users in the energy system should change from passive consumption to active prosumption and engagement. This is of particular importance as an increasing number of technologies and business models are focusing on the end-users. These developments provide new opportunities for further technical and social innovation to smarter, flexible and integrated systems such as community energy systems (CESs). Through system integration and community engagement CESs assist in transition to a low-carbon energy system. Despite the high importance, there is limited knowledge on willingness of local citizens to participate in the local energy systems such as CESs as well as associated factors determining such willingness. Through a survey among 599 citizens in the Netherlands, this research analyses the impact of demographic, socio-economic, socio-institutional as well as environmental factors on willingness to participate in CESs. Factor and multi-variate regression analysis reveals that the environmental concern, renewables acceptance, energy independence, community trust, community resistance, education, energy related education and awareness about local energy initiatives are the most important factors in determining the citizens’ willingness to participate in CESs. Citizens should be empowered to take active role in steering the local energy initiatives.

Due to changing market conditions on the energy market, profit margins are under pressure. This is also the case with thermal grids. In this paper an industrialized thermal grid, with heat delivery to greenhouse growers, is investigated. To improve the profitability of this thermal grid the possibility of transforming it into a smart thermal grid by introducing a heat-trading platform is proposed.

In this paper we present the results of different contract types and specifications for vehicle-to-grid supply. We developed a classification of contract types and specifications for vehicle-to-grid supply based on demand response literature. Such contracts provide rules and agreements between electric vehicle drivers and aggregators regarding the operation of the car for supplying power when parked. Applying the contract concepts to a microgrid with fuel cell electric vehicles that supply power, we compare the static volume-based contract to the control-based approach which was assumed in previous work. Using agent-based modeling and simulation we explore the effect of these two contract types on the requirements for drivers and the system performance of the microgrid. The results show that with volume-based contracts, the plug-in hour requirements and supplied V2G per car are lower on average, and that 91% of the residual load can be supplied with vehicles.