A Comparison of Households’ Energy Balance in Residential Smart Grid Pilots in the Netherlands

Gercek, Cihan; Schram, Wouter; Lampropoulos, Ioannis; Sark, W.G.J.H.M. van; Reinders, Angèle

doi:10.3390/app9152993

Cited by 13 publications

(4 citation statements)

References 33 publications

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Section: Integration Aspectsmentioning

confidence: 99%

“…The Dutch government has put emphasis on the importance of smart grid pilots and integration of renewable energy [157]. In a 2017 inventory of smart grid projects in the EU, the Netherlands was ranked in the 8th position with 58 demonstrations and 66 R&D projects, and in the 7th position in terms of associated investments (EUR 166 million in demonstrations, and EUR 43 million in R&D projects, with EUR 27 million coming from national investment, EUR 58 million from EC funds, and EUR 124 million from private funds), while the domains with highest investment were the smart network management, DSM, integration of distributed generation and storage, and e-mobility [118].…”

Section: Integration Aspectsmentioning

confidence: 99%

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Review of Energy in the Built Environment

et al. 2020

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Urban environments can be key to sustainable energy in terms of driving innovation and action. Urban areas are responsible for a significant part of energy use and associated greenhouse gas emissions. The share of greenhouse gas emissions is likely to increase as global urban populations increase. As over half of the human population will live in cities in the near future, the management of energy supply and demand in urban environments will become essential. Developments such as the transformation of the electricity grid from a centralised to a decentralised system as well as the electrification of the transportation and heating systems in buildings will transform the urban energy landscape. Efficient heating systems, sustainable energy technologies, and electric vehicles will be critical to decarbonise cities. An overview of emerging technologies and concepts in the built environment is provided in this literature review on the basis of four main areas, namely, energy demand, supply, storage, and integration aspects. The Netherlands is used as a case study for demonstrating evidence-based results and feasibility of innovative urban energy solutions, as well as supportive policies.

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Section: Integration Aspectsmentioning

confidence: 99%

Section: Integration Aspectsmentioning

confidence: 99%

Review of Energy in the Built Environment

et al. 2020

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“…Another chapter [6] frames the impact of various smart grid technologies, to provide a transparent set of indicators for the performance assessment of residential smart grid demonstration projects. The analysis comprises an evaluation of measured energy data of 217 households from three smart grid pilot projects in the Netherlands and a public dataset with smart meter data from 70 households as a reference.…”

Section: Indicators For Good System Designmentioning

confidence: 99%

Special Issue on Advanced Applications for Smart Energy Systems Considering Grid-Interactive Demand Response

Reinders

2019

Applied Sciences

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“…This test bench implements a demand forecasting method based on an optimization algorithm that tends to reduce the uncertainty of renewable generation and the power exchanged between the consumers and the utility. Other testbed pilots such as in Belgium [15], Shanghai [16,17], The Netherlands [18,19], and others [4] have measured the time flexibility of smart appliances, electricity consumption feedback from in-home displays, performance indicators for recognizing patterns, and the effectiveness of price incentives, respectively.…”

Section: Introductionmentioning

confidence: 99%

Cooperative Demand Response Framework for a Smart Community Targeting Renewables: Testbed Implementation and Performance Evaluation

et al. 2020

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Demand response (DR) is emerging as the workhorse of achieving energy efficiency and reducing our carbon footprint, which persists as a major challenge amongst all the different energy-chain players, i.e., the utility providers, policy makers, consumers, and the technology sector. For instance, the Internet-of-Things (IoT) paradigm and network-enabled appliances/devices have escalated the expectations of what technology could do for the acceptance of DR programs. In this work, we design, deploy on a scalable pilot testbed, and evaluate a collaboration-based approach to the demand-side management of a community of electricity consumers that jointly targets green consumption. The design of the framework architecture is centralized via the so-called aggregator, which optimizes the demand scheduled by consumers along with their time frame preferences towards the maximization of the consumption of renewables. On the pilot, we opt for lightweight, yet efficient platforms such as Raspberry Pi boards, and evaluate them over a series of network protocols, i.e., MQTT-TLS and CoAP-DTLS, paying special attention to the security and privacy of the communications over Z-Wave, ZigBee, and WiFi. The experiments conducted are configured using two active Living Labs datasets from which we extract three community scenarios that vary according to the flexibility or rigidity of the appliances’ operation time frame demand. During the performance evaluation, processing and communication overheads lie within feasible ranges, i.e., the aggregator requires less than 2 s to schedule a small consumer community with four appliances, whereas the latency of its link to households’ controllers adds less than 100 ms. In addition, we demonstrate that our implementations running over WiFi links and UDP sockets on Raspberry Pi 4 boards are fast, though insecure. By contrast, secure CoAP (with DTLS) offers data encryption, automatic key management, and integrity protection, as well as authentication with acceptable overheads.

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A Comparison of Households’ Energy Balance in Residential Smart Grid Pilots in the Netherlands

Cited by 13 publications

References 33 publications

Review of Energy in the Built Environment

Review of Energy in the Built Environment

Special Issue on Advanced Applications for Smart Energy Systems Considering Grid-Interactive Demand Response

Cooperative Demand Response Framework for a Smart Community Targeting Renewables: Testbed Implementation and Performance Evaluation

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