Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building

Graditi, Giorgio; Ippolito, Mariano Giuseppe; Lamedica, R.; Piccolo, Antonio; Ruvio, Alessandro; Santini, E.; Siano, Pierluigi; Zizzo, Gaetano

doi:10.1016/j.enbuild.2015.05.027

Cited by 59 publications

(25 citation statements)

References 28 publications

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“…Existing research on users has primarily been conducted in community or district scale pilot projects for demonstration smart grid technologies [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Dane

Finck

et al. 2017

Applied Energy

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h i g h l i g h t sAwareness of smart grids is the highest among respondents aged 20-29 years old. Willingness to use smart technologies and change energy behaviour are interdependent. Potential flexible building users were found to be 11% of the respondents. Building energy flexibility might play a crucial role in demand side management for integrating intermittent renewables into smart grids. The potential of building energy flexibility depends not only on the physical characteristics of a building but also on occupant behaviour in the building. Building users will have to adopt smart technologies and to change their daily energy use behaviours or routines, if energy flexibility is to be achieved. The willingness of users to make changes will determine how much demand flexibility can be achieved in buildings and whether energy flexible buildings can be realized. This will have a considerable impact on the transition to smart grids. This study is thus to assess the perception of smart grids and energy flexible buildings by building users, and their readiness for them on a large scale. We attempted to identify the key characteristics of the ideal user of flexible buildings. A questionnaire was designed and administered as an online survey in the Netherlands. The questionnaire consisted of questions about the sociodemographic characteristics of the current users, house type, household composition, current energy use behaviour, willingness to use smart technologies, and willingness to change energy use behaviour. The survey was completed by 835 respondents, of which 785 (94%) were considered to have provided a genuine response. Our analysis showed that the concept of smart grids is an unfamiliar one, as more than 60% of the respondents had never heard of smart grids. However, unfamiliarity with smart grids increased with age, and half of the respondents aged 20-29 years old were aware of the concept. Monetary incentives were identified as the biggest motivating factor for adoption of smart grid technologies. It was also found that people would be most in favour of acquiring smart dishwashers (65% of the respondents) and refrigerator/freezers (60%). Statistical analysis shows that people who are willing to use smart technologies are also willing to change their behaviour, and can thus be categorised as potentially flexible building users. Given certain assumptions, 11% of the respondents were found to be potentially flexible building users. To encourage people to be prepared for energy flexible buildings, awareness of smart grids will have to be increased, and the adoption of smart technologies may have to be promoted by providing incentives such as financial rewards. a r t i c l e i n f o

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“…Existing research on users has primarily been conducted in community or district scale pilot projects for demonstration smart grid technologies [14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Dane

Finck

et al. 2017

Applied Energy

View full text Add to dashboard Cite

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“…The average daily load diagrams (summer and winter) of a typical house, as reported in Reference [8], were determined both in the presence and absence of a 3 kW PV generator. The production of the generator for every season and location was calculated assuming the daily irradiation data from the Joint Research Centre Photovoltaic Geographical Information System (JRC PVGIS) Database [30].…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The daily load profiles of residential users were calculated using a Monte Carlo approach using the software presented in Reference [8]. NEPLAN allows, through a special editor, the creation of very complex load profiles:…”

Section: Model Of the Networkmentioning

confidence: 99%

“…DSM has a large number of benefits for distribution systems: for example, it may slow down the annual peak load growth rate, decrease the overall energy consumption due to the building sector, reduce power system losses, decrease greenhouse gas (GHGs) emissions due to buildings' load usage and, finally, postpone investments for enhancing the power distribution grid. In this context, the proposed paper investigates the effects on the distribution grid of some control logics (defined in Reference [8]) implemented in Building Automation and Control (BAC) systems for residential buildings also in the presence of distributed generation from renewable energy sources (RESs).…”

Section: Introductionmentioning

confidence: 99%

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Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks

et al. 2018

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Abstract:Growing home comfort is causing increasing energy consumption in residential buildings and a consequent stress in urban medium and low voltage distribution networks. Therefore, distribution system operators are obliged to manage problems related to the reliability of the electricity system and, above all, they must consider investments for enhancing the electrical infrastructure. The purpose of this paper is to assess how the reduction of building electricity consumption and the modification of the building load profile, due to load automation, combined with suitable load control programs, can improve network reliability and distribution efficiency. This paper proposes an extensive study on this issue, considering various operating scenarios with four load control programs with different purposes, the presence/absence of local generation connected to the buildings and different external thermal conditions. The study also highlights how different climatic conditions can influence the effects of the load control logics.

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“…The sample has been outputted using the simulator developed in [28] and based on a Monte Carlo approach and real usage probability data for domestic devices and appliances. For each of them the vector Pm has been defined.…”

Section: Input Parameters Of the Algorithmmentioning

confidence: 99%

A New Platform for Automatic Bottom-Up Electric Load Aggregation

et al. 2017

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Abstract:In this paper, a new virtual framework for load aggregation in the context of the liberalized energy market is proposed. Since aggregation is managed automatically through a dedicated platform, the purchase of energy can be carried out without intermediation as it happens in peer-to-peer energy transaction models. Differently from what was done before, in this new framework, individual customers can join a load aggregation program through the proposed aggregation platform. Through the platform, their features are evaluated and they are clustered according to their reliability and to the width of range of regulation allowed. The simulations show the deployment of an effective clustering and the possibility to meet the target power demand at a given hour according to each customer's availability.

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Innovative control logics for a rational utilization of electric loads and air-conditioning systems in a residential building

Cited by 59 publications

References 28 publications

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Are building users prepared for energy flexible buildings?—A large-scale survey in the Netherlands

Building Automation and Control Systems and Electrical Distribution Grids: A Study on the Effects of Loads Control Logics on Power Losses and Peaks

A New Platform for Automatic Bottom-Up Electric Load Aggregation

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