Designing low and zero carbon products and systems: improvements based on consumers’ experience of adoption and use

The development and rapid consumer adoption of low and zero carbon (LZC) technologies are key elements of UK and EU carbon reduction strategies to meet the challenge of climate change. Many LZC technologies are available, ranging from established energy efficiency products such as home insulation and energy-efficient lighting to more innovative renewable energy systems, including solar thermal systems, micro-wind turbines, solar photovoltaics and biomass stoves and boilers. This paper examines key influences on consumer adoption – and non-adoption – of energy efficiency products and renewable energy systems based on the findings of a UK Open University project, which conducted some 90 in-depth telephone interviews plus an on-line survey with nearly 400 responses during 2006. The survey results show that it is important to research consumer requirements and use behaviours when developing ‘green’ technologies. Consumer adoption of LZC products and systems has been relatively slow and, even when installed, due to behavioural effects, they have not always reduced carbon emissions as much as expected. The results of this study of UK consumers’ experiences shows that improved designs are required to address barriers to LZC adoption and problems in use, including functionality, ergonomics, interconnectedness with other systems and symbolic value, as well as cost and payback. Offering challenges for designers and engineers and marketers, the paper identifies user-centred ideas and concepts to promote more rapid adoption and carbon-saving use of LZC technologies

E-Z Door: Hands-free Front Door Unlocking and Opening Mechanism

The E-Z Door Senior Design project is a project with the aim of designing a hands-free system to unlock and open the front door of a home using two-factor security authentication. The main goal of this project is to help people who may have physical limitations to be able to take advantage of recent technology, making it significantly easier to enter their homes

Design Improvements from users’ experiences of low and zero carbon technologies

The development and rapid consumer adoption of low and zero carbon (LZC) technologies are key elements of UK and EU carbon reduction strategies to meet the challenge of climate change. Many LZC technologies are available, ranging from established energy efficiency products such as home insulation and energy-efficient lighting to more innovative renewable energy technologies, including solar thermal systems, micro-wind turbines, solar photovoltaics and biomass stoves. This paper examines key influences on consumer adoption – and non-adoption – of energy efficiency products and renewable energy systems based on the findings of a UK Open University project, which conducted some 111 in-depth telephone interviews plus an on-line survey with nearly 400 responses. The results show that it is important to research consumer requirements and use behaviours when developing ‘green’ technologies. Consumer adoption of LZC products and systems has been relatively slow and, even when installed, due to behavioural effects, they have not always reduced carbon emissions as much as expected. The results of this study of UK consumers’ experiences shows that improved designs are required to address barriers to LZC adoption and problems in use, including functionality, ergonomics, interconnectedness with other systems and symbolic value, as well as price and payback. Offering challenges for designers, engineers and managers, the paper identifies user-centred improvements to promote more rapid adoption and effective use of LZC technologies

A Semantics-Rich Information Technology Architecture for Smart Buildings

The design of smart homes, buildings and environments currently suffers from a low maturity of available methodologies and tools. Technologies, devices and protocols strongly bias the design process towards vertical integration, and more flexible solutions based on separation of design concerns are seldom applied. As a result, the current landscape of smart environments is mostly populated by defectively designed solutions where application requirements (e.g., end-user functionality) are too often mixed and intertwined with technical requirements (e.g., managing the network of devices). A mature and effective design process must, instead, rely on a clear separation between the application layer and the underlying enabling technologies, to enable effective design reuse. The role of smart gateways is to enable this separation of concerns and to provide an abstracted view of available automation technology to higher software layers. This paper presents a blueprint for the information technology (IT) architecture of smart buildings that builds on top of established software engineering practices, such as model-driven development and semantic representation, and that avoids many pitfalls inherent in legacy approaches. The paper will also present a representative use case where the approach has been applied and the corresponding modeling and software tools

A review on economic and technical operation of active distribution systems

© 2019 Elsevier Ltd Along with the advent of restructuring in power systems, considerable integration of renewable energy resources has motivated the transition of traditional distribution networks (DNs) toward new active ones. In the meanwhile, rapid technology advances have provided great potentials for future bulk utilization of generation units as well as the energy storage (ES) systems in the distribution section. This paper aims to present a comprehensive review of recent advancements in the operation of active distribution systems (ADSs) from the viewpoint of operational time-hierarchy. To be more specific, this time-hierarchy consists of two stages, and at the first stage of this time-hierarchy, four major economic factors, by which the operation of traditional passive DNs is evolved to new active DNs, are described. Then the second stage of the time-hierarchy refers to technical management and power quality correction of ADSs in terms of static, dynamic and transient periods. In the end, some required modeling and control developments for the optimal operation of ADSs are discussed. As opposed to previous review papers, potential applications of devices in the ADS are investigated considering their operational time-intervals. Since some of the compensating devices, storage units and generating sources may have different applications regarding the time scale of their utilization, this paper considers real scenario system operations in which components of the network are firstly scheduled for the specified period ahead; then their deviations of operating status from reference points are modified during three time-intervals covering static, dynamic and transient periods

Energy Management Expert Assistant, a New Concept

In recent years, interest in home energy management systems (HEMS) has grown significantly, as well as the development of Voice Assistants that substantially increase home comfort. This paper presents a novel merging of HEMS with the Assistant paradigm. The combination of both concepts has allowed the creation of a high-performance and easy-to-manage expert system (ES). It has been developed in a framework that includes, on the one hand, the efficient energy management functionality boosted with an Internet of Things (IoT) platform, where artificial intelligence (AI) and big data treatment are blended, and on the other hand, an assistant that interacts both with the user and with the HEMS itself. The creation of this ES has made it possible to optimize consumption levels, improve security, efficiency, comfort, and user experience, as well as home security (presence simulation or security against intruders), automate processes, optimize resources, and provide relevant information to the user facilitating decision making, all based on a multi-objective optimization (MOP) problem model. This paper presents both the scheme and the results obtained, the synergies generated, and the conclusions that can be drawn after 24 months of operation

How smart is the Italian domestic environment? A quantitative study

The market for smart home products in Italy appears to be growing quicker than in other European countries. Continuous technological advances have lowered the price for entry products, allowing more families to acquire smart solutions. Meanwhile, after the Covid-19 pandemic, the importance of the domestic environment as a hybrid space where to conduct different activities that require smart and connected appliances has significantly grown. Ultimately, economic and social instability has produced a higher awareness of energy consumption, bringing many users to question their lifestyle choices and look for smarter and greener solutions. The evolution of living conditions through the growth of smart technology in houses and apartments must be explored by interaction designers, to provide effective user experiences of smart artifacts, that need to seamlessly connect with one another and function together, within a complex, multimodal environment. Considering this, the paper presents the results of a quantitative study carried out at the end of 2021, through an online survey that was completed by 135 respondents. Data are analysed by grouping the respondents in 3 categories: single tenants, couples or roommates (unrelated to each other), and families (at least one parent with their offspring). Different visualizations highlight which rooms are "smarter"-although Italian households appear to be less technological than expected. The main findings concern the relationship between wider technological ecosystems and larger groups of tenants living together, and how the ownership of a smart product leads to the acquisition of other products-thus building a complex network of non-human players

Load Management in a Smart House

Since a couple years ago, studies have been done in order to minimize the energy consumption at home. With that in mind, algorithms were developed to predict the energy consumption at the house and study the behaviour of the loads with the goal of minimizing the energy costs. In this dissertation, the objective was to create a model for the space heating and water heating and study their behaviour and adjust their load model to reduce the energy consumption and energy bill, and find the best energy tariffs for each case.The models consider physical parameters of the house , so the model can be a better approximation from reality.However, the problem is not only, a Energy and bill reduction, but the algorithm has to focus on the comfort of the house habitants too.Since a couple years ago, studies have been done in order to minimize the energy consumption at home. With that in mind, algorithms were developed to predict the energy consumption at the house and study the behaviour of the loads with the goal of minimizing the energy costs. In this dissertation, the objective was to create a model for the space heating and water heating and study their behaviour and adjust their load model to reduce the energy consumption and energy bill, and find the best energy tariffs for each case.The models consider physical parameters of the house , so the model can be a better approximation from reality.However, the problem is not only, a Energy and bill reduction, but the algorithm has to focus on the comfort of the house habitants too