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Storage systems are deemed to be unable to provide revenue commensurate with the resources invested in them, thus discouraging their incorporation within power networks. In prosumer microgrids, storage systems can provide revenue from reduced grid consumption, energy arbitraging or when serving as back-up power. This study aims to examine stacking these revenue streams with the aim of making storage systems financially viable for inclusion in prosumer microgrids.

With the aim of reducing self-consumption and maximising revenue, the prosumer microgrid incorporating hybrid energy storage systems (HESS) and solar PV power is solved using the CPLEX solver of the Advanced Interactive Multidimensional Modeling Software (AIMMS). The financial analysis of the results is carried out to provide the payback periods of different system configurations of the prosumer microgrid.

The findings reveal that the payback period of the three HESS when minimising grid expenses during self-consumption alone and when compared with stacked revenue streams shows an improvement from 4.8–11.2 years to 2.4–6.6 years. With stacked HESS revenues, the supercapacitor-lithium ion battery HESS gave the shortest payback period of 2.31 years when solar PV power is at 75% penetration level.

Existing literature has considered revenue streams of storage systems at the electrical power transmission and distribution levels, but not for prosumer microgrids in particular. This study has captured these benefits and verified the profitability of stacking revenue from HESS to prosumer microgrids, using a case study.

This paper aims to identify the effects of client orientation on the business models of central power generation companies.

Five major Russian wholesale electricity market players have been selected for the analysis conducted by applying the “business model canvas”. To identify the changes induced by client orientation, the progress of companies’ business models has been traced over six years, from 2009 to 2015.

Five major trends in business model changes because of client orientation have been identified: declaration of the movement toward client orientation and adoption of client service standards; emergence of business diversification in favour of engineering, construction, service, operation and maintenance of power-generating facilities; increase in vertical integration; increase in the diversity of communication channels with consumers; and increase in the diversity of customer relationships. The results have been compared with those obtained from international studies. The conclusions about international and local characters of the trends are presented.

The study contributes to the knowledge of the current and upcoming changes in the business of central power generation companies triggered by the advent of electricity prosumers. The results are valuable for both management decision makers and theorists.

The purpose of this study is to formulate the most probable future scenario for the use of blockchain technology within the next 5–10 years in the electricity sector based on today’s experts’ views.

An international, two-stage Delphi study with 20 projections is used.

According to the experts, blockchain applications will be primarily based on permissioned or consortium blockchains. Blockchain-based applications will integrate Internet of Things devices in the power grid, manage the e-mobility infrastructure, automate billing and direct payment and issue certificates regarding the origin of electricity. Blockchain solutions are expected to play an important big role in fostering peer-to-peer trading in microgrids, further democratizing and decentralizing the energy sector. New regulatory frameworks become necessary.

The Delphi study’s scope is rather broad than narrow and detailed. Further studies should focus on partial scenarios.

Electricity market participants should build blockchain-based competences and collaborate in current pilot projects.

Blockchain technology will further decentralize the energy sector and probably reduce transaction costs.

Despite the assumed importance of blockchain technology, no coherent foresight study on its use and implications exists yet. This study closes this research gap.

Energy systems are quickly in transition and their complexity has been dramatically increased. Although there are numerous studies and researches about future of energy in terms of technology or fuels, few studies have been done based on comprehensive socio-technical dimensions of energy systems’ futures. One key question to fill this gap is that how can we consider electricity as a sustainable common good/resource, beyond some conventional considerations related to public or private sector orientation? The purpose of this study is to find an acceptable answer for this question..

To achieve the purpose of this study, after reviewing some relevant studies, key effective factors on the future of energy have been recognized in an expert panel and structurally analyzed by Micmac software based on cross-impact analyze method. Thereafter, four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described based on scenario workshops method..

Four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described. These scenarios include “spider grid,” “local grid,” “intermediate grid” and “off-grid.” Furthermore, different dimensions of electricity as a common good/resource have been investigated. As a result, the authors find out that common resource is a creatable concept that can be referred to some goods depending on certain conditions.

Electricity, like any other resource with common characteristics, can be considered and treated as a common resource, depending on the way we generate, share and distribute it, ownership and property rights, management and decision-making mechanisms, social participation processes and governance criteria.

This paper defines prosumers in light of the COVID-19 crisis and other contexts. It addresses how prosumers helped overcome challenges caused by COVID-19 and is the first paper to develop a taxonomy of prosumers, their differentiating characteristics and the degree to which they are useful in overcoming the challenges of COVID-19.

We conducted a literature search of the prosumer literature using the Web of Science and Scopus databases.

This study solves a definitional dilemma of prosumers and develops six prosumer archetypes displaying the nuances of prosumers. The study shows that the six prosumer archetypes vary in their usefulness in addressing challenges caused by COVID-19. The findings demonstrate the micro (individual), meso (organizational) and macro (societal) benefits offered by prosumers in times of crises.

This study has some clear implications for the prosumer literature, the services literature and the crisis literature by clarifying the role of prosumers in times of crisis.

This paper offers several implications at the micro (individual), meso (organizational), and macro (societal) levels that are offered by prosumers in times of crises. The benefits of prosumers afford individuals, service practitioners and other organizations ways to remain resilient and strong in the face of significant crises such as COVID-19.

This paper makes three specific contributions. First, it contributes to the service literature by highlighting the role and value of prosumers in crises, an area currently under-researched. Secondly, it developed six prosumer archetypes displaying the nuances of prosumers, contributing to the prosumer literature by sharpening the focus of this versatile phenomenon and demonstrating the differential value of each type of prosumer in times of crises. Lastly, the study advances the prosumer literature by resolving the definitional dilemma of prosumers and by providing a broad, yet specific definition of prosumers that captures the different perspectives evident in the prosumer literature.

Some of the major concerns since the implementation of smart meters (prepaid meters) in some parts of Ghana is how electricity consumers have benefited from data obtained from these meters by providing important statistics on electricity-saving advice; this is one of the key demand-side management methods for achieving load reduction in residential homes. Appliance shifting techniques have proved to be an effective demand response strategy in load reduction. The purpose of this paper is therefore to help consumers of electricity understand when and how they can shift some appliances from peak to off-peak and vice versa.

The research uses an analysis technique of Richardson et al. (2010). In their survey on time-of-use surveys to determine the usage of electricity in households as far as appliance shifting was concerned, this study allowed for the assessment of how the occupants’ daily activities in households affect residential electricity consumption. Fell et al. (2014) modeled an aggregate of electricity demand using different appliances (n) in the household. The data for the peak time used in this study were identified from 05:00 to 08:00 and 17:00 to 21:00 for testing the load shifting algorithms, and the off-peak times were pecked from 10:00 to 16:00 and 23:00. This study technique used load management considering real-time scheduling for peak levels in the selected homes. The household devices are modeled in terms of controlled parameters. Using this study’s time-triggered loads on refrigerators and air conditioning systems, the findings suggested that peak loads can be reduced to 45% as a means of maintaining the simultaneous quality of service. To minimize peak loads to around 35% or more, Chaiwongsa and Wongwises (2020) have indicated that room air conditioning and refrigerator loads are simpler to move compared to other household appliances such as cooking appliances. Yet in conclusion, this study made a strong case that a decrease in household peak demand for electricity is primarily contingent on improvements in human behavior.

This study has shown that appliance load shifting is a very good way of reducing electrical consumption in residential homes. The comparative performance shows a moderate reduction of 1% in load as was found in the work done by Laicaine (2014). The results, however, indicate that load shifting to a large extent can be achieved by consumer behavioral change. The main response to this study is to advise policymakers in Ghana to develop the appropriate demand response and consumer education towards the general reduction in electrical load in domestic households. The difficulty, however, is how to get the attention of consumer’s on how to start using appliances with less load at peak and also shift some appliances from off-peak times. By increasing consumer knowledge and participation in demand response, it is possible to achieve more efficiency and flexibility in load reduction. The findings were benchmarked with existing comparison studies but may benefit from the potential production of structured references. However, the findings show that load shifting can only be done by modifying consumer actions.

It should be remembered that this study showed that the use of appliances shifting in residential homes results in load reduction benefits for customers, expressed as savings in electricity prices. The next step will be to build on this cost/benefit study to explain and measure how these reductions transform into net consumer gains for all Ghanaian households.

Load shifting will include load controllers in the future, which would automatically handle electricity consumption from various appliances in the home. Based on the device and user needs, the controllers can prioritize loads and appliance usage. The algorithms that underpin automatic load controllers will include knowledge about the behaviors of groups of end users. The results on the time dependency of activities may theoretically inform the algorithms of automatic demand controllers.

This paper addresses an important need for the country in the midst of finding solutions to an unending energy crisis. This paper presents demand response to the Ghanaian electricity consumer as a means to help in the reduction of load in residential homes. This is a novel research as no one has at yet carried out any research in this direction in Ghana. This paper has some new information to offer in the field of demand in household electricity consumption.

A dense urban structure cuts down traffic emissions. It also promotes waste heat use and storage possibilities as a form of district heating. However, quality elements associated with detached houses, such as tranquillity and self-expression possibilities, may be lost. Better building quality and alternatives to private car use can enable these elements in smaller spaces, which is assessed here. The paper aims to discuss these issues.

A technology set for an imaginary high-quality (HQ) apartment house is discussed by assessing increased embedded energy of the building structure, due to the HQ measures. HQ solutions include visual barriers, increased sound insulation, roof terraces, large windows, apartment adaptability, bike sheds, electrical cargo bikes and advanced energy solutions.

The increased construction and heating energy use in HQ buildings can be offset if car use is reduced by 10-15 per cent. There is a greater possibility of achieving this reduction if HQ housing can make urban densification more readily acceptable by demonstrating, that good quality housing can exist both in smaller building lots as well as in smaller apartments.

The quality issue brings a novel perspective to estimating the environmental impacts of built environment solutions. The approach here is quite simple, but the issue can be discussed more. That is, how much total resource input can be decreased, if the target is not to produce square metres but rather the necessary elements to have a good quality of life.

This paper aims to investigate and formulate several business models (BM) for various energy communities (EC) members: prosumers, storage facilities, electric vehicle (EV) charging stations, aggregators and local markets.

One of the flexibility drivers is triggered by avoiding the cost and maximizing value that consists of delivering a service such as increasing generation or reducing consumption when it is valued most. The transition to greener economies led to the emergence of aggregators that aggregate bits of flexibility and handle the interest of their providers, e.g. small entities such as consumers, prosumers and other small service providers. On one hand, the research method consists of formulating six BM and implementing a BM that includes several consumers and an aggregator, namely, scheduling the household electricity consumption (downstream) and using flexibility to obtain revenue or avoid the cost. This is usually performed by reducing or shifting the consumption from peak to off-peak hours when the energy is cheaper. Thus, the role of aggregators in EC is significant as they intermediate small-scale energy threads and large entities' requirements, such as grid operators or retailers. On the other hand, in the proposed BM, the aggregators' strategy (upstream) will be to minimize the cost of electricity procurement using consumers’ flexibility. They set up markets to buy flexibility that is valued as long as their costs are reduced.

Interesting insights are revealed, such as when the flexibility price doubles, the deficit coverage increases from 62% to 91% and both parties, consumers and retailers obtain financial benefits from the local market.

One of the limitations of using the potential of flexibility is related to the high costs that are necessary to implement direct load control. Another issue is related to the data privacy aspects related to the breakdown of electricity consumption. Furthermore, data availability for scientific research is limited. However, this study expects that new BM for various EC members will emerge in the future largely depending on Information Communications and Technology developments.

An implementation of a local flexibility market (LFM) using 114 apartments with flexible loads is proposed, demonstrating the gains obtained from trading flexibility. For LFM simulation, this study considers exemplifying a BM using 114 apartments located in a multi-apartment building representing a small urban EC situated in the New England region in North America. Open data recorded in 2016 is provided by UMassTraceRepository.

As a novelty, six BM are proposed considering a bottom-up approach and including various EC members.