Research through design for energy transition: two case studies in Germany and The Netherlands

Stremke, S.; Schöbel, Sören

doi:10.1108/sasbe-02-2018-0010

Cited by 21 publications

(19 citation statements)

References 20 publications

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“…The methods and criteria for research quality have been widely discussed (see e.g. Groat and Wang [131]; Stremke and Schnöbel [132]; van De Weijer et al [133]; van den Brink et al [134]).…”

Section: Design: Mode Of Inquiry To Activate Changementioning

confidence: 99%

“…Both landscape and design research and practice have a longstanding tradition in transdisciplinarity and methodological pluralism [125,146]. As a landscape includes both a physical reality and a mental construction (through cultural reading and perception), a landscape approach requires different scientific methods from both the natural sciences (empirical) and the humanities (interpretative) [132]. The combination of the comprehensive nature of the landscape and the merging capacity of design are useful to enhance transdisciplinarity and coherence.…”

Section: Enhancing Transdisciplinarity and Coherence Through A Shared Reference And Focusmentioning

confidence: 99%

“…In this way, landscape design (or better 'research through design') becomes a research method by actively employing the act of design(ing) for knowledge inquiry [182,184]. The key to come to knowledge that has relevance and validity beyond the specific context lies in the development of generalizable principles through reflective processes in accordance with certain criteria within a scientific context [132,185,186]. These principles or design guidelines explicitly make conceptual connections between the necessary simplifications of science and the infinite complexity of 'anecdotal' findings and specific knowledge of a project [111].…”

Section: Knowledge Inquiry Through Design Practicementioning

confidence: 99%

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Landscape Design to Meet the Societal Demand for Ecosystem Services: A Perspective

Carron

Muys

Orshoven

et al. 2021

CiS

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In recent decades, the concept of Ecosystem Services (ES) has generated a paradigm shift in the perspective of human society on nature and has had an important awareness-raising role concerning the importance of ecosystems. However, the concept has not been capable to stop the loss of biodiversity and nature in order to meet the societal challenges of ES provision, especially in urbanized territories. From the reviewed literature, it is obvious that implementing the ES concept within spatial design and planning processes poses several difficulties. In this context we state that a more comprehensive approach is needed of which the ES concept is part. To move to genuine landscape change and a shift in land use and land stewardship, we argue that a landscape design approach can play a significant activating role. The goal of this paper is to underpin this assumption from a theoretical and methodological point of view. The paper first gives an overview of the difficulties that the field of ES science and practice is facing when implementing the ES concept in landscape design and planning processes. Then a landscape design approach is presented as an alternative approach and a possible way forward for genuine landscape change to meet the societal demand for ES (Fig. 1).

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Section: Design: Mode Of Inquiry To Activate Changementioning

confidence: 99%

Section: Enhancing Transdisciplinarity and Coherence Through A Shared Reference And Focusmentioning

confidence: 99%

Section: Knowledge Inquiry Through Design Practicementioning

confidence: 99%

See 1 more Smart Citation

Landscape Design to Meet the Societal Demand for Ecosystem Services: A Perspective

Carron

Muys

Orshoven

et al. 2021

CiS

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“…Landscape is both physical structure and human perception and something in between. The physical structure is based on the natural morphologies, overlaid and modified by land-use textures and infrastructures (Stremke and Sch€ obel, 2019). Some research shows that the scale of environmental health problems has expanded from household (e.g.…”

Section: Environmental Healthmentioning

confidence: 99%

Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran

Eslamirad

Kolbadinejad

Mahdavinejad

et al. 2020

SASBE

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PurposeThis research aims to introduce a new methodology for integration between urban design strategies and supervised machine learning (SML) method – by applying both energy engineering modeling (evaluating phase) for the existing green sidewalks and statistical energy modeling (predicting phase) for the new ones – to offer algorithms that help to catch the optimum morphology of green sidewalks, in case of high quality of the outdoor thermal comfort and less errors in results.Design/methodology/approachThe tools of the study are the way of processing by SML, predicting the future based on the past. Machine learning is benefited from Python advantages. The structure of the study consisted of two main parts, as the majority of the similar studies follow: engineering energy modeling and statistical energy modeling. According to the concept of the study, at first, from 2268 models, some are randomly selected, simulated and sensitively analyzed by ENVI-met. Furthermore, the Envi-met output as the quantity of thermal comfort – predicted mean vote (PMV) and weather items are inputs of Python. Then, the formed data set is processed by SML, to reach the final reliable predicted output.FindingsThe process of SML leads the study to find thermal comfort of current models and other similar sidewalks. The results are evaluated by both PMV mathematical model and SML error evaluation functions. The results confirm that the average of the occurred error is about 1%. Then the method of study is reliable to apply in the variety of similar fields. Finding of this study can be helpful in perspective of the sustainable architecture strategies in the buildings and urban scales, to determine, monitor and control energy-based behaviors (thermal comfort, heating, cooling, lighting and ventilation) in operational phase of the systems (existed elements in buildings, and constructions) and the planning and designing phase of the future built cases – all over their life spans.Research limitations/implicationsLimitations of the study are related to the study variables and alternatives that are notable impact on the findings. Furthermore, the most trustable input data will result in the more accuracy in output. Then modeling and simulation processes are most significant part of the research to reach the exact results in the final step.Practical implicationsFinding of the study can be helpful in urban design strategies. By finding outdoor thermal comfort that resulted from machine learning method, urban and landscape designers, policymakers and architects are able to estimate the features of their designs in air quality and urban health and can be sure in catching design goals in case of thermal comfort in urban atmosphere.Social implicationsBy 2030, cities are delved as living spaces for about three out of five people. As green infrastructures influence in moderating the cities’ climate, the relationship between green spaces and habitants’ thermal comfort is deduced. Although the strategies to outside thermal comfort improvement, by design methods and applicants, are not new subject to discuss, applying machines that may be common in predicting results can be called as a new insight in applying more effective design strategies and in urban environment’s comfort preparation. Then study’s footprint in social implications stems in learning from the previous projects and developing more efficient strategies to prepare cities as the more comfortable and healthy places to live, with the more efficient models and consuming money and time.Originality/valueThe study achievements are expected to be applied not only in Tehran but also in other climate zones as the pattern in more eco-city design strategies. Although some similar studies are done in different majors, the concept of study is new vision in urban studies.

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“…Existing research on landscape and renewable energy has been largely focusing on wind energy (e.g. Pasqualetti, Gipe, & Righter, 2002;Stremke & Schöbel, 2019;Thayer & Freeman, 1987), hydropower energy (e.g. Ferrario & Castiglioni, 2017;Frolova, 2010;Rodriguez, 2012) and high-voltage powerlines (e.g.…”

Section: Towards More Inclusion Of Landscape In the Energy Transition...mentioning

confidence: 99%

Landscape-inclusive energy transition : Landscape as catalyst in the shift to renewable energy

Oudes¹

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Research through design for energy transition: two case studies in Germany and The Netherlands

Cited by 21 publications

References 20 publications

Landscape Design to Meet the Societal Demand for Ecosystem Services: A Perspective

Landscape Design to Meet the Societal Demand for Ecosystem Services: A Perspective

Thermal comfort prediction by applying supervised machine learning in green sidewalks of Tehran

Landscape-inclusive energy transition : Landscape as catalyst in the shift to renewable energy

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