Pear Orchard Cabins
Design + Build project in China. UIA-CBC Competition
2019 UIA-CBC International Colleges and Universities Competitive Construction Workshop walks into Guoyuan Village, Aiyuan Town, Siyang County, Suqian City, Jiangsu. UC + Beijing Jiaotong University (BJTU) team has won the UIA-CBC competition proposal as one of the top 15 teams from proposals submitted by 101 Universities across 23 nations. After the winning of Phase 1 proposal, UC+BJTU team was invited to join the Phase 2, and build the permanent structures from August.01 to 19 in China. The project won the third prize. Please check out the final result of all 15 projects .
Taking the century-old pear orchard as the site, this year’s Competitive Construction Workshop sets a theme of creating “Pear Orchard Cabins” that can improve the quality of living in the orchard. The participating teams designed and build 15 cabins in the orchard as well as infrastructure that connected the whole community in order to contribute to the revitalization of the “Century-old Pear Orchard”, and also to explore a path for changing villages by the power of design.
The theme of this year’s workshop is “Pear Orchard Cabins”, which takes the whole 100-year-old orchard as the site of design where 15 selected teams from renowned international and domestic universities will be involved to discuss how to “activate villages through design”. The teams will use a limited space to design and construct their cabin in order to provide more activity solutions to the villagers and visitors. The design will be based on the element of “pear” and picture future scenarios involving countryside spatial experience and pear-related themes all the way from design to constructions or construction. The design content is not limited to installations and may also include consideration of the site and the environment.
As an integral part of village revitalization plan, the workshop seeks to explore a rural public architectural form than can fit in with nature. By linking up the 15 “Pear Orchard Cabins” in the century-old orchard with a continuous infrastructure, it emphasizes the fun experience of exploring the place, activates the heart of the village and injects the power of design into the basic mode of rural production, driving the change and improvement of rural lifestyle and providing a paradigm for rural construction.
Phase II: Design+Build Team
Students: Lauren Figley, Jordan Micham, Pat McQuillen, Vu Tran, Jeremy Swafford,Tess Ryan
Faculty supervisor: Whitney Hamaker, Ming Tang (UC); Yingdong Hu, Yunan Zhang, Yongquan Chen (BJTU)
Phase I: Design Proposal
UC Student Team, class from ARCH3014, digital media skills. Spring 2019, taught by Prof. Ming Tang.
Winning Team: Lauren Figley, Andi Moore, Jordan Micham, Pat McQuillen, Vu Tran
Graduate assistant: Jeremy Swafford, Shreya Jasrapuria, Kenna Gibson, Alan Bossman, Tess Ryan
Faculty advisor: Ming Tang, Xiangbin Xu, Yuhui Song (UC); Yingdong Hu, Yongquan Chen ( BJTU)
Photo of Phase II. China
Shenzhen Center for Design. ALCCA parallel research Grant. China. Team: Ming Tang, Chris Auffrey, Xinhao Wang, Mingming Lu, Zhou Yan. Students: Desai Sagar, Reinersman Michael, Davis Seth, Block Olga. 2015
This academic research project is organized by the Shenzhen Center for Design and conducted in parallel to the Alternatives for Low Carbon City and Architecture (ALCCA) planning and design competition. This research project brings together professors, researchers, and students from multiple international universities from the region and around the world: Shenzhen University, University of Hong Kong, Columbia University, University of Cincinnati, the University of Syracuse, and Harvard University. Each research team is tasked to produce one ‘User’s Manual’ about specific topics involved in the planning, design, and implementation of low carbon urban development. These ‘Manuals’ aims to provide substantiated knowledge and innovative ideas for the discussion of the environmental, economic, social, and cultural issues surrounding low carbon projects in Shenzhen and the rest of the world.
The goal of this research is to construct a relational model allowing developers to better understand the complex relationships among various urban parameters such as population, density, carbon emission, car usage, development intensity, zoning and energy consumption. The use of dynamic / parametric modeling has allowed us to compare the advantages and disadvantages of underground, surface, and vertical development, as well as different transportation and building densities and coverages, and to propose an optimal strategy for new infrastructure development and land use. We believe the great challenge for the PINGDI1.1 project is to create evaluation systems that can quantify various parameters of the urban built environment, and ensure a low carbon lifestyle for all residents though various scenarios including iterative proposals on urban infrastructure, land use, building programs, waste management, renewable energy and transportation systems.
Step 1: Construct measurable Low carbon indicators
Low carbon indicators from various aspects were proposed. These indicators will be very helpful in establishing an eco-city performance monitoring system for the low carbon city. Step 2: Construct Assumptions
Quantifiable Relationships were established based on the following assumptions of the PINGDI low carbon city starting zone.
- Population density
- Industrial space requirement
- Carbon emission per employee by industry (ton/person)
- Energy consumption rates per area by industry sector (J/sq.m.)
- Commercial/office space requirement (square meters per employee):
- Energy consumption rate per residential area (J/sq.m.)
- Carbon emission rate per residential area (ton/sq.m)
- Water consumption
- Waste water generation
- Municipal waste generation
- Storm water runoff
- Proportion impervious area
- Automobile carbon emission rate (ton/km)
- Assumption of surface parking
- Transit carbon emission rate (ton/km)
- Percentage by travel modes
- Total distance travelled per person (km)
- Carbon sequestration rates (ton/sq.m)
Step 3: Construct site database
A digital model of PINGDI site is constructed using advanced parametric modeling tools, which includes block and building. Street network, Land use type by block, FAR, Building height, Building use type, and other parameters will be coded into database allowing further computing. Three scenarios named as high-density development, mid-density development, low-density development were constructed.
4. Scenario based analysis
We offer a brief discussion of each concept below along with example illustrations of their application. The parametric modeling results are analyzed based on low-carbon city criteria related to various service including school, healthcare, recreation, commercial and parks.
The conclusions are made based on the analysis of various scenarios based on the GIS scenario 360 program in the relation to the low carbon planning methods. Final Report download (PDF)
Mara Marcu, Ming Tang, Adam Schueler’s project “Optical Illusions of Volume” is exhibited at the ‘DATA & MATTER’ Exhibition in Venice.
Palazzo Bembo, Riva del Carbon, Venice, Italy. May 24th to November 25th 2018.
Images and video creadit to DATA & MATTER Exhibion. GAA Foundation – EUROPEAN CULTURAL CENTRE
“Time – Space – Existence” during the 2018 Venice Architecture Biennale
May 26 – November 25,2018 Palazzo Bembo,Venice, Italy
Exhibition curated by: Marcella Del Signore, Nancy Diniz , Frank Melendez.
More information on our exhibtion is avialble on the UC News “UC’s Mara Marcu talks ‘Optical Illusions of Volume’ exhibit at Venice Biennale” by Michele Ralston. August, 2018.
DATA & Matter Exhibition at the GAA Foundation and European Cultural Centre during the #2018VeniceArchitectureBiennale May 26 – November 25, 2018 – Palazzo Bembo, Venice, Italy
Exhibition Curated by: Marcella Del Signore, Nancy Diniz and Frank Melendez.
12 projects at the “Time – Space – Existence” during the 2018 Venice Architecture Biennale
The exhibition presents a group of projects by leading international designers using emerging and novel forms of reading and producing spatial conditions that connect/visualize data, responsive systems, and sensing/actuation technologies, through micro and macro scales. The exhibition takes the opportunity to exhibit a range of projects, side by side, that transform DATA as an abstraction into spatial and experiential configurations. It aims at triggering discussion and debate on how the use of data in design methodologies and theoretical discourses have evolved in the last two decades and why processes of data measurement, quantification, simulation, ubiquitous technologies and algorithmic control, and their integration into methods of making architectural form and spatial experiences, are becoming vital in academic and industry practices.
Hot spring hotel. Changbaishan. China.
contracted consultant work for BLVD Architects, China.
Status: Under construction.
Directed by Ming Tang, TYA Design helped BLVD architect to develop parametric roof model for construction. 3D roof structure was constructed as an information model containing a large quantity of parameters that were manipulated in various design phases.
Ming Tang School of Architecture and Interior Design, 7215, College of DAAP, University of Cincinnati
Mail: PO Box 210016, College of DAAP : 5470 Aronoff Center, Cincinnati, OH 45221-0016 , USA