Data-Driven Energy Retrofit Payback Time Probability Predictor DOI
Fulvio Re Cecconi, Luca Rampini

Опубликована: Янв. 1, 2023

The European Community aims for carbon neutrality by 2050, a goal critically impacted the building sector, which accounted over 34% of energy demand and around 37% CO2 emissions in Europe 2021. Efficient retrofitting stock is essential but require significant investments. Some countries, such as Italy, have tried to introduce tax incentives make them worthwhile, yet economic evaluation interventions difficult assess. This study proposes data-driven tool suitable be used from first stage design process measure probability that an investment retrofit will paid off given number years. based on three pillars: buildings’ performance certificate data, artificial neural networks, Monte Carlo simulations. networks are basis approach chosen this research. latter was account uncertainty implicit life-cycle cost buildings. Neural were at two different points One, predicts buildings after retrofit, build database second network, real core proposed tool. estimates payback period 15, 20 or 25 years, depending made retrofit. simplifies reduces evaluating return investments, supporting selection cost-effective interventions. It presents advancement making decisions more accessible economically viable, addressing crucial need journey towards carbon-neutral continent.

Язык: Английский

Advancing Building Intelligence: Developing and Implementing Standardized Smart Readiness Indicator (SRI) On-site Audit Procedure. DOI Creative Commons
L. Martínez‐Alarcón, Theoklitos Klitou,

Detlef Olschewski

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 134538 - 134538

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Building Information Modeling and Digital Twins for Functional and Technical Design of Smart Buildings with Distributed IoT Networks—Review and New Challenges Discussion DOI Creative Commons
Gabriela Walczyk, Andrzej Ożadowicz

Future Internet, Год журнала: 2024, Номер 16(7), С. 225 - 225

Опубликована: Июнь 27, 2024

Modern building automation systems implement plenty of advanced control and monitoring functions that consider various parameters like users’ activity, lighting, temperature changes, etc. Moreover, novel solutions based on the Internet Things cloud services are also being developed for smart buildings to ensure comfort use, user safety, energy efficiency improvements, integration with grids city platforms. Such a wide spectrum technologies requires approach in design provide effective implementation flexibility during operation. At same time, operation industries, tools information modeling digital twins developed. This paper discusses development directions application areas these solutions, identifying new trends possibilities their use homes buildings. In particular, focus is procedures selecting functions, integration, interoperability management Things, considering organization prediction mechanisms dynamic functional changes networks. Chosen should requirements set out EN ISO 52120 standard guidelines defined Smart Readiness Indicator.

Язык: Английский

Процитировано

3

Moving Forward in Effective Deployment of the Smart Readiness Indicator and the ISO 52120 Standard to Improve Energy Performance with Building Automation and Control Systems DOI Creative Commons
Gabriela Walczyk, Andrzej Ożadowicz

Energies, Год журнала: 2025, Номер 18(5), С. 1241 - 1241

Опубликована: Март 3, 2025

The transition towards energy-efficient and sustainable buildings is a cornerstone of global efforts to combat climate change. Building automation control systems (BACSs), standardized under EN ISO 52120, the Smart Readiness Indicator (SRI) have emerged as pivotal tools for optimizing energy performance, integrating smart technologies, enhancing building adaptability. This review provides comprehensive analysis current research landscape practical applications these frameworks, focusing on their role in advancing efficiency, occupant comfort, environmental sustainability. Key contributions include an exploration challenges SRI evaluation, considering limitations simplified methods, need long-term validation, gaps advanced functions. study emphasizes innovative solutions adapting assessments diverse types, conditions, regulatory frameworks. Furthermore, it presents original insights into leveraging including information modeling (BIM) digital twins (DTs), refine evaluation methods optimize BACS designs. These findings contribute development sustainable, intelligent that align with EU goals. authors conclude by highlighting promising directions future further enhance strategic facility management practices.

Язык: Английский

Процитировано

0

The challenges for a holistic, flexible and through-life updated energy performance certificate DOI Creative Commons
Matteo Piro, Franz Bianco Mauthe Degerfeld, Ilaria Ballarini

и другие.

Sustainable Energy Technologies and Assessments, Год журнала: 2024, Номер 69, С. 103922 - 103922

Опубликована: Авг. 1, 2024

One of the strategies proposed by recently approved version Energy Performance Buildings Directive recast is to provide Member States with more reliable, accurate, and digitalised Certificates (EPCs), so-called next-generation or enhanced EPCs. Currently, end-users perceive EPC as just an administrative obligation for buying renting a building. The data in certificates limited energy-related information lack accuracy. Moreover, they cannot account continuous changes that occur throughout building lifetime. overcoming limitations main objective research activity conducted within framework Next Generation Horizon2020 cluster. At this regard, EU-Horizon2020 TIMEPAC project going contribute enhancement entire process generating, storing, analysing, exploiting premise no longer conceived static entity, but occupant-centric object, subject changes. Therefore, approach should be holistic, flexible, through-life updatable, interoperable. In work, methodologies tools existing schema terms generation, exploitation, quality are presented discussed.

Язык: Английский

Процитировано

1

Public Displays in Smart Cities: A User Interaction and Content Impact Analysis with the Public Display Interaction Test DOI Creative Commons

Taskaeva Natalia,

Sanjeev Kumar Shah, Vikas Verma

и другие.

BIO Web of Conferences, Год журнала: 2024, Номер 86, С. 01103 - 01103

Опубликована: Янв. 1, 2024

An examination of the data in this extensive research on "Public Displays Smart Cities" showed that participant demography was varied, with differing educational backgrounds and city homes. A variety display kinds screen sizes, including interactive touch screens digital billboards up to 120 inches size, were found public sites examined. The statistics user involvement revealed a range engagement ratings, mean rating 3.8, interaction times, an average 16 minutes. content impact while "Ads" had lower click-through rate 2.2%, "Weather" "Local Events" high rates 5% 4%, respectively. These results highlight dynamic character displays smart cities, highlighting need customized strategies possibility maximize information sharing.

Язык: Английский

Процитировано

0

Refining energy efficiency and flexibility strategies using the smart readiness indicator. A comparative case study in Slovenia and Croatia DOI Creative Commons
Boris Sučić,

Ružica Jurjević,

Marko Bišćan

и другие.

Опубликована: Апрель 2, 2024

Energy and resource efficiency in combination with renewable energy sources constitute the backbone of fu-ture sustainable development any sector. In this context, reduction consumption buildings com-bined wide integration (RES) urban areas are vital elements for long-term transition towards a carbon-neutral society. The EU has identified as most promising target improv-ing quantified significant energy-saving potential associated infrastructure equipment investments. calculation Smart Readiness Indicator (SRI) involves data collection from various aspects building's design, operation, usage. During process, SRI auditor had to ex-tract useful drawings, daily log sheets, predefined readings Supervisory Control Data Acquisition systems (SCADA), interview and/or facility managers, building occupants, owners. Proper interpretation scores is crucial identification flexibility potentials. This paper presents comparative case study on application Slovenia Croatia, focusing extraction measures. Additionally, provides general code conduct smart readiness rating. These rating should be considered quality indicator clients (building owners, users, etc.) what they expect require auditors order achieve expected benefits. strengths weaknesses auditing its role decision-making specifically selection optimal energy-renovation scenario, were critically reviewed.

Язык: Английский

Процитировано

0

A Comparative Analysis on Smart Readiness Indicator (Sri) Assessment Methods a and B According to Residential and Non-Residential Buildings, and Europe's Climate Zones DOI
Selin Bicer, Fahriye Hilal Halıcıoğlu

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0

Data-Driven Energy Retrofit Payback Time Probability Predictor DOI
Fulvio Re Cecconi, Luca Rampini

Опубликована: Янв. 1, 2023

The European Community aims for carbon neutrality by 2050, a goal critically impacted the building sector, which accounted over 34% of energy demand and around 37% CO2 emissions in Europe 2021. Efficient retrofitting stock is essential but require significant investments. Some countries, such as Italy, have tried to introduce tax incentives make them worthwhile, yet economic evaluation interventions difficult assess. This study proposes data-driven tool suitable be used from first stage design process measure probability that an investment retrofit will paid off given number years. based on three pillars: buildings’ performance certificate data, artificial neural networks, Monte Carlo simulations. networks are basis approach chosen this research. latter was account uncertainty implicit life-cycle cost buildings. Neural were at two different points One, predicts buildings after retrofit, build database second network, real core proposed tool. estimates payback period 15, 20 or 25 years, depending made retrofit. simplifies reduces evaluating return investments, supporting selection cost-effective interventions. It presents advancement making decisions more accessible economically viable, addressing crucial need journey towards carbon-neutral continent.

Язык: Английский

Процитировано

0