112 research outputs found
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Of impacts, agents, and functions: An interdisciplinary meta-review of smart home energy management systems research
Smart home energy management technologies (SHEMS) have long been viewed as a promising opportunity to manage the way households use energy. Research on this topic has emerged across a variety of disciplines, focusing on different pieces of the SHEMS puzzle without offering a holistic vision of how these technologies and their users will influence home energy use moving forward. This paper presents the results of a systematic, interdisciplinary meta-review of SHEMS literature, assessing the extent to which it discusses the role of various SHEMS components in driving energy benefits. Results reveal a bias towards technical perspectives and controls approaches that seek to drive energy impacts such as load management and energy savings through SHEMS without user or third-party participation. Not only are techno-centric approaches more common, there is also a lack of integration of these approaches with user-centric, information-based solutions for driving energy impacts. These results suggest future work should investigate more holistic solutions for optimal impacts on household energy use. We hope these results will provoke a broader discussion about how to advance research on SHEMS to capitalize on their potential contributions to demand-side management initiatives moving forward
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Using data from connected thermostats to track large power outages in the United States
The detection of power outages is an essential activity for electric utilities. A large, national dataset of Internet-connected thermostats was used to explore and illustrate the ability of Internet-connected devices to geospatially track outages caused by hurricanes and other major weather events. The method was applied to nine major outage events, including hurricanes and windstorms. In one event, Hurricane Irma, a network of about 1000 thermostats provided quantitatively similar results to detailed utility data with respect to the number of homes without power and identification of the most severely affected regions. The method generated regionally uniform outage data that would give emergency authorities additional visibility into the scope and magnitude of outages. The network of thermostat-sensors also made it possible to calculate a higher resolution version of outage duration (or SAIDI) at a level of customer-level visibility that was not previously available
Italian politics in an era of recession : the end of bipolarism?
Italian politics have undergone momentous change in the 2007–2017 decade under the impact of the eurozone crisis, whose peak in 2011–2013 could be equated to the earlier watershed years of 1992–1994. The lasting impact of the upheaval in Italian politics in the early 1990s could still be felt in the decade of economic recession, but there were also new challenges prompted by a crisis that had its roots in international financial contagion and which unravelled under the shadow of both recession and austerity. The changes were of an economic, social, cultural, institutional, policy-oriented and political nature. If one central quintessentially political theme stands out by the end of this decade it is the apparent exhaustion of the quest for bipolarisation that was initiated in the early 1990s
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Open Building Operating System: An Open-Source Grid Responsive Control Platform for Buildings
Grid-interactive efficient buildings (GEBs) with flexible loads are a promising method to decarbonize buildings, shift loads during peak hours, and lower energy use and electricity costs. Despite the promising benefits of GEBs, automation systems that manage flexible loads in response to energy prices or other grid signals are still uncommon in small and medium commercial buildings. Recent literature demonstrates such control solutions, but they often rely on custom integrations lacking the tools and drivers needed for scalability. To address these gaps, our team has created a fully open-source software stack capable of integrating heterogeneous flexible building loads and implementing integrated portable control applications called the Open Building Operating System (OpenBOS). The software can be deployed over existing control architecture with a small capital cost. OpenBOS leverages semantic models, which have been the subject of recent investigations to facilitate application portability. The use of semantic data reduces the labor and expense required to deploy and update smart control applications, increasing scalability. In this paper, the semantic modeling schema "Brick" was used, but the proposed approach can also be applied to ASHRAE standard 223P, when released. This paper describes the methodology and software components of OpenBOS and demonstrates its functionality with a rule-based demand flexibility control application configured using a semantic model. This application was tested at a real building in NY that uses a dual-fuel heating system made up of five ductless heat pump mini-splits and a central furnace serving a single zone. The demonstration reduced electricity costs at the site by 27%, demand during a shed event by 49%, and furnace usage by 35%
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Through the looking glass: analyzing barriers to adoption of advanced rooftop unit controls through human-centered observational research
The US Department of Energy has estimated that sensors and controls systems could lead
to 29% annual energy savings across all building types (Fernandez et al. 2018). This can be
achieved by better matching system operation to building occupancy and outside air conditions
and enabling real-time adjustments to temperature setpoints and schedules. However, only 13%
of small to medium buildings have adopted technologies capable of providing these functions.
Based on anecdotal evidence, there are challenges associated with installing, maintaining, and
using rooftop unit (RTU) controls that may contribute to this missed opportunity. To better
understand the importance of human-technology interaction, we use non-participant,
observational research methods in conjunction with technology performance evaluations to gain
real-world insight into installation, integration, configuration, commissioning, and use of RTU
controls. Doing so highlights barriers to adoption and perceived value of RTU controls and also
provides valuable feedback to manufacturers and workforce regarding pressure points. In this
paper we describe the methodology and initial results from observations conducted by the
research team. Key outcomes in three main areas are also discussed - market conditions, peoples’
perception, and the technology itself. As with other emerging IoT building control technologies,
themes such as unclear and unintuitive manufacturer documentation, complicated software
interfaces, difficulty in IT security and access issues, and lack of perceived value by owners and
users continue to be barriers to adoption. Finally, we provide recommendations to address
deployment barriers of RTU controls that prioritize economic and technical accessibility to small
businesses and organizations
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Quantitative cross-species translators of cardiac myocyte electrophysiology: Model training, experimental validation, and applications
Animal experimentation is key in the evaluation of cardiac efficacy and safety of novel therapeutic compounds. However, interspecies differences in the mechanisms regulating excitation-contraction coupling can limit the translation of experimental findings from animal models to human physiology and undermine the assessment of drugs’ efficacy and safety. Here, we built a suite of translators for quantitatively mapping electrophysiological responses in ventricular myocytes across species. We trained these statistical operators using a broad dataset obtained by simulating populations of our biophysically detailed computational models of action potential and Ca2+ transient in mouse, rabbit, and human. We then tested our translators against experimental data describing the response to stimuli, such as ion channel block, change in beating rate, and β-adrenergic challenge. We demonstrate that this approach is well suited to predicting the effects of perturbations across different species or experimental conditions and suggest its integration into mechanistic studies and drug development pipelines
Declining partisan representation at the sub-national level: assessing and explaining the strengthening of local lists in Italian municipalities (1995–2014)
In Western democracies political representation at the national level is still dominated by (old and new) political parties. This article shows that, instead, the representative role of parties may have declined at the local level. In Italy, for instance, the average share of municipal seats held by non-partisan councillors has almost tripled in the last 20 years. By using an original data set, this article classifies different types of Italian local lists, assesses their relationship with traditional parties and explains territorial variation in their success. The results suggest that local lists have become substantially stronger in small municipalities, in regions characterised by weak or declining political subcultures and where regionalist parties are absent or irrelevant. Finally, contrary to the expectation that declining partisanship is linked to modernisation processes and direct civic engagement, local lists have achieved their best results in the less developed areas of the country
Local representative democracy and protest politics:the case of the Five-star Movement
In recent years, protest politics has become a relevant phenomenon in various European countries. Italy has witnessed the rise of the Five-star Movement (M5S), an anti-establishment party, which, at the 2013 general election, obtained one-fourth of the total votes. However, the story of this ‘party-movement’ started at the local level, as a civic network aimed at changing administrative practices in municipal government. By using an original dataset on representation in 671 Italian municipalities from 2010 to 2014, this article aims to explain not only the subnational political success of the M5S but also the challenges and contradictions that a newly formed movement faces in multi-level electoral arenas
Folk Labeling: Insights on Improving Usability and Saving Energy Gleaned from After-Market Graffiti on Common Appliances.
Energy efficiency and the misuse of programmable thermostats: The effectiveness of crowdsourcing for understanding household behavior
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