PIANC Smart Rivers 2022
Reviewing Presentation documents
Topic:
Inland Navigation Structure
Logistics
River System Management
Smart Shipping
Special Sessions
Waterway Infrastructure
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Author
2
Name:
Affiliations:
Region:
Afghanistan
Albania
Algeria
America
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Barbados
Bosnia and Herzegovina
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
China(Hong Kong)
China(Macao)
China(Tai wan)
Colombia
Comoros
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
North Korea
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Oman
Pakistan
Palau
Palestine
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Romania
Russia
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent And The Grenadine
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
South Korea
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela
Vietnam
Wallis and Futuna
Western Samoa
Yemen
Zambia
Zimbabwe
Email:
Is corresponding author or not (one only):
Author
3
Name:
Affiliations:
Region:
Afghanistan
Albania
Algeria
America
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Barbados
Bosnia and Herzegovina
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
China(Hong Kong)
China(Macao)
China(Tai wan)
Colombia
Comoros
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
North Korea
Norway
Oman
Pakistan
Palau
Palestine
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Romania
Russia
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent And The Grenadine
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
South Korea
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela
Vietnam
Wallis and Futuna
Western Samoa
Yemen
Zambia
Zimbabwe
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Abstract :
*(250~1000 words)
Overview and motivation To stay in the safety threshold of a 2°C (or 1.5 °C) increase in average temperature of global warming, the transport sector must be decarbonized. For managing the decarbonization of transport, the measurement of emissions is an essential prerequisite. One of the central goals of freight carbon accounting has been to produce estimates that are consistent, transparent and comparable across all transport modes, operators, commodities, supply chains and geographies. Therefore, the quality of calculated emissions and emission intensities depends on availability, specification, quality and exchange of data. The road sector has been focusing on the collection of data to demonstrate environmental performance improvements. Across rail and inland waterway transport the availability of data is scarce. In the absence of accurate data, it is impossible to adequately commit science-based targets, assess options for decarbonisation, and track progress in reducing emissions over time. Thus, this paper investigates the different emission factors along multimodal transport chains and their effects on emission calculation results. Methodology, results and main contributions A literature review was conducted to identify the different emission factors. Up to now, there is no single internationally agreed calculation method, except the wide adoption of the EN 16258 standard and the Global Logistics Emissions Council (GLEC) framework. Efforts are made to introduce the current establishment of the global ISO standard 14083 on the quantification and reporting of GHG emissions arising from operations of transport chains. Moreover, new online tools for example EcoTansIT, CarbonCare or Mobitool were developed. The problem is, for example, that a calculation with the EcoTransit compared with a calculation including the manual GLEC calculation is emerging in different values. The emission factors are often different as well as the assumptions made about empty runs. For example, in 2011, the Central Commission for Navigation on the Rhine compiled studies in which values for CO2 intensity (CO2 emission factors) were determined for inland navigation. The values given in gram per tkm vary greatly. A reason is, CO2 emissions of inland barges can only be determined with a certain degree of accuracy if energy consumption data for individual waterways and the type of vessel used are available. Conclusion and future works It is important, that the drive for consistency, transparency and comparability is strongly maintained in the future for the collection of freight emission data. This means that the future framework for calculating GHG emissions needs to be reliable, relevant, and accurate to enable adequate comparison of emissions from transport operations, thereby placing all modes and operations on equal footing. The CO2 emission factors for inland waterway transport is quite extensive in comparison to other modes, so more effort is needed. Future research should focus not only on the CO2 emissions from the transportation, but also those emissions which are related to handling, where the data situation is currently inadequate. Acknowledgment: This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861377.
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