Mario Sisinni

Mario Sisinni


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 October 2017 in Buildings
Verified
Journal Article
Open access
PDF file
MSMario Sisinni
Mario Sisinni
FNFederico Noris
Federico Noris
SSSander Smit
Sander Smit
Thomas MesserveyThomas Messervey
Thomas Messervey
Tracey Anne CrosbieTracey Anne Crosbie
Tracey Anne Crosbie
LSLuc Van Summeren
Luc Van Summeren
The work presented is the result of an ongoing European H2020 project entitled DR-BOB Demand Response in Blocks of Buildings (DR-BOB) that seeks to integrate existing technologies to create a scalable solution for Demand Response (DR) in blocks of buildings. In most EU countries, DR programs are currently limited to the industrial sector and to direct asset control. The DR-BOB solution extends applicability to the building sector, providing predictive building management in blocks of buildings, enabling facilities managers to respond to implicit and explicit DR schemes, and enabling the aggregation of the DR potential of many blocks of buildings for use in demand response markets. The solution consists of three main components: the Local Energy Manager (LEM), which adds intelligence and provides the capacity for predictive building management in blocks of buildings, a Consumer Portal (CP) to enable building managers and building occupants to interact with the system and be engaged in demand response operations, and a Decentralized Energy Management System (DEMS®, Siemens plc, Nottingham, England, UK), which enables the aggregation of the DR potential of many blocks of buildings, thus allowing participation in incentive-based demand response with or without an aggregator. The paper reports the key results around Business Modelling development for demand response products and services enabled by the DR-BOB solution. The scope is threefold: (1) illustrate how the functionality of the demand response solution can provide value proposition to underpin its exploitation by four specific customer segments, namely aggregators and three types of Owners of Blocks of Buildings in different market conditions, (2) explore key aspects of the Business Model from the point of view of a demand response solution provider, in particular around most the suitable revenue stream and key partnership, and (3) assess the importance of key variables such as market maturity, user engagement, and type of blocks of buildings as drivers to market penetration and profitability. The work presented is framed by the expected evolution of DR services in different market contexts and the different relationships between the main stakeholders involved in the DR value chain in different EU countries. The analysis also relies on the results of interviews conducted at the fours pilot sites of the DR-BOB project with key representatives of the management, operations, and marketing. These are used to better understand customer needs and sharpen the value proposition.

9 November 2017 in Proceedings
Verified
Conference Paper
Open access
PDF file
YOYoussef Oualmakran
Youssef Oualmakran
JEJuan Manuel Espeche
Juan Manuel Espeche
MSMario Sisinni
Mario Sisinni
Thomas MesserveyThomas Messervey
Thomas Messervey
ZLZia Lennard
Zia Lennard
Residential flexibility (a.k.a demand response) is a key component of smart grids to reduce our carbon footprint, to have reliable power (balance between power and demand, and avoiding congestion) and more affordable electricity tariffs. However, to have a significant participation in the flexibility markets, households needs good price signals. Today, the electricity bill components (volumetric and capacity for both consumption and generation) are evolving and grid services are increasingly more available to households. This is due to the evolution in the energy mix, deployment of new technologies (smart meter roll-out, gradual uptake of electric vehicles, heat pumps and batteries), regional integration (interconnectors and integration of balancing markets) and evolution of society (sharing economy or Peer2peer and ubiquity of smartphones). These trends will have a quantitative impact on the different energy bills in the short term (2020) and longer term. Further investigation is also suggested to go from the qualitative analysis to a better quantitative analysis.

9 November 2017 in Proceedings
Verified
Conference Paper
Open access
PDF file
Thomas MesserveyThomas Messervey
Thomas Messervey
MSMario Sisinni
Mario Sisinni
JEJuan Manuel Espeche
Juan Manuel Espeche
ZLZia Lennard
Zia Lennard
MVMeritxell Vinyals
Meritxell Vinyals
JAJulien Ardeois
Julien Ardeois
This report summarises the conduct and key findings from the fourth and final scientific workshop organised under the Mas²tering project (Multi-Agent Systems and Secured coupling of Telecom and Energy gRIds for Next Generation smart grid services), which is co-funded by the European Union under the FP7 programme. The workshop was co-located with Sustainable Places 2017 hosted by Teesside University in Middlesbrough, UK. Sustainable Places is an annual international conference focused on innovations for Energy-efficient Buildings and the wider smart grids that connect them. This fourth edition of the Mas2tering workshop series aimed at validating the project’s work to date with respect to its approach, technologies, use cases and in-progress results. For this purpose, a panel of three experts was formed and to them the project presented an Overview & Approach, Physical Testing at the ENGIE Crigen facilities, simulation of the Cardiff Grid, Project Use Cases and the Business Model Approach. Thematic issues and conclusions from the presentations and discussions are provided herein.