Solution Design

2021 ◽  
pp. 65-95
Author(s):  
Robert Fantina ◽  
Andriy Storozhuk ◽  
Kamal Goyal
Keyword(s):  
Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1398
Author(s):  
Xinfang Wang ◽  
Rosie Day ◽  
Dan Murrant ◽  
Antonio Diego Marín ◽  
David Castrejón Botello ◽  
...  

To improve access to affordable, reliable and sustainable energy in rural areas of the global south, off-grid systems using renewable generation and energy storage are often proposed. However, solution design is often technology-driven, with insufficient consideration of social and cultural contexts. This leads to a risk of unintended consequences and inappropriate systems that do not meet local needs. To address this problem, this paper describes the application of a capabilities-led approach to understanding a community’s multi-dimensional energy poverty and assessing their needs as they see them, in order to better design suitable technological interventions. Data were collected in Tlamacazapa, Mexico, through site visits and focus groups with men and women. These revealed the ways in which constrained energy services undermined essential capabilities, including relating to health, safety, relationships and earning a living, and highlighted the specific ways in which improved energy services, such as lighting, cooking and mechanical power could improve capabilities in the specific context of Tlamacazapa. Based on these findings, we propose some potential technological interventions to address these needs. The case study offers an illustration of an assessment method that could be deployed in a variety of contexts to inform the design of appropriate technological interventions.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1237
Author(s):  
Ivan Pisa ◽  
Antoni Morell ◽  
Ramón Vilanova ◽  
Jose Lopez Vicario

Industrial environments are characterised by the non-lineal and highly complex processes they perform. Different control strategies are considered to assure that these processes are correctly performed. Nevertheless, these strategies are sensible to noise-corrupted and delayed measurements. For that reason, denoising techniques and delay correction methodologies should be considered but, most of these techniques require a complex design and optimisation process as a function of the scenario where they are applied. To alleviate this, a complete data-based approach devoted to denoising and correcting the delay of measurements is proposed here with a two-fold objective: simplify the solution design process and achieve its decoupling from the considered control strategy as well as from the scenario. Here it corresponds to a Wastewater Treatment Plant (WWTP). However, the proposed solution can be adopted at any industrial environment since neither an optimization nor a design focused on the scenario is required, only pairs of input and output data. Results show that a minimum Root Mean Squared Error (RMSE) improvement of a 63.87% is achieved when the new proposed data-based denoising approach is considered. In addition, the whole system performance show that similar and even better results are obtained when compared to scenario-optimised methodologies.


2012 ◽  
Vol 12 (7) ◽  
pp. 2219-2224 ◽  
Author(s):  
M. Toubin ◽  
D. Serre ◽  
Y. Diab ◽  
R. Laganier

Abstract. Natural hazards threaten the urban system and its components that are likely to fail. With their high degree of interdependency, urban networks and services are critical issues for the resilience of a city. And yet, network managers are scarcely aware of their flaws and dependencies and they are reluctant to take them into account. In order to develop an operational tool to improve urban resilience, we propose here an auto-diagnosis method to be completed by network managers. The subsequent confrontation of all diagnoses is the basis of collaborative research for problem identification and solution design. The tool is experimented with the Parisian urban transport society.


2015 ◽  
Vol 19 ◽  
pp. 695-702 ◽  
Author(s):  
Petru Claudiu Pasc ◽  
Cristian Dragoş Dumitru

2016 ◽  
pp. 1048-1072
Author(s):  
Lawrence Chidzambwa

Telecare enables remote and cost-effective home treatment of patients, improving the safety and quality of life of frail individuals. However, despite increased availability of telecare devices, many are not fully used and often ignored due to poor social perception and experience. The research suggests the social aspects of quality and safety related to user experience have not been considered. This can lead to misuse or non-use of telecare devices, reducing patient safety and quality of life. This chapter explores the implications for the lack of social considerations in telecare and develops a series of models and methodologies to integrate the social dimension with the traditional medical intervention focus. By applying semiotics and normative behavioural theory, the authors show how a Normative Home Telecare Framework can improve telecare solution design and ensure take up and use of the devices and increase patient safety and life quality.


Author(s):  
Ramya Sivaraj

This chapter explores computational participation as an integrative portal, offering a model for integration across individual disciplines, with an emphasis on the transformative potential of innovative digital practices to engage learners in collaborative science, technology, engineering, and mathematics (hereafter “STEM”) learning. Drawing on sociocultural perspectives and Dewey's experiential learning theory, computational participation in STEM is examined with respect to how learners meaningfully engage with problem-solving strategies, innovative solution design, and multiple iterations of testing. Utilizing examples of interactive digital platforms, such as Scratch and Hypothes.is, this chapter makes a case for how computational participation in STEM creates opportunities for collaborative learning in the virtual and real world, while maintaining a central focus on real world issues. Integrating computational participation in STEM, consequently, supports active, experiential learning, where STEM learners are able to develop transferable conceptual understandings, along with application of skills, such as creativity, critical thinking, communication, and collaboration.


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